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Type :thesis
Subject :LB Theory and practice of education
Main Author :Xue, Tao
Title :Effects of using self-regulated learning strategies on academic procrastination and academic success among undergraduates English learners in China
Place of Production :Tanjong Malim
Publisher :Fakulti Pembangunan Manusia
Year of Publication :2023
Corporate Name :Universiti Pendidikan Sultan Idris
PDF Guest :Click to view PDF file

Abstract : Universiti Pendidikan Sultan Idris
Self-regulated learning is an active learning process including strategy use, meta meta- cognition, and motivation. Self Self-regulation failure is the core problem of academic procrastination, which seriously threatens academic success. This research aims to study t he direct effects of self self-regulated strategies on academic procrastination and academic success among undergraduate students. It also investigated the mediation effect of academic procrastination on meta meta-cognitive strategies, time management, effort regula tion, and student’s academic success. A fully quantitative study was conducted, and a questionnaire survey which includes Tuckman Procrastination Scale, the Motivated Strategies for Learning Questionnaire, and the School Connectedness Scale was conducted a mong 239 university students who learn English as a foreign language. To explore the direct effects and indirect effects of time management, effort regulation, meta meta-cognitive self self-regulation, academic procrastination, and academic success, AMOS structural equation mode modeling was adopted to analyze the data, and 10 hypotheses were tested. The results showed that there exists a significant positive relationship between meta meta-cognitive strategies and academic success. Learning strategies like effort regulation, m etaeta-cognitive strategies, and time management are associated with academic procrastination negatively, and academic procrastination is related to academic success negatively. Time management and effort regulation do not relate to academic success. The medi ation effects showed that Effort regulation and time management have a significant posit ive indirect effect on student students’ academic success by mediating academic procrastination, and academic procrastination does not mediate the relationship between meta meta-cog nitive strategies and students’ academic success. The application of effective self self-regulated strategies and the reduction of academic procrastination can pr omote academic success among university EFL students. The implications of this study can help educa tors or teachers to instruct students to apply self self-regulated learning strategies and models to English learning properly. For English learners, the better strategies they use, the less academic procrastination, and the better academic success they achieve achieved.

References

Abd-Elmotaleb, M., & Saha, S. (2013). The Role of Academic Self-Efficacy as a Mediator Variable between Perceived Academic Climate and Academic Performance. Journal of Education & Learning, 2(3), 117-129. https://doi.org/10.5539/jel.v2n3p117

  

 

Abdi Zarrin, S., & Gracia, E. (2020). Prediction of Academic Procrastination by Fear of Failure and Self-Regulation. Educational Sciences: Theory and Practice, 20(3), 34-43.  

 

Acuff, S. F., Soltis, K. E., Dennhardt, A. A., Borsari, B., Martens, M. P., & Murphy, J. G. (2017, Oct). Future So Bright? Delay Discounting and Consideration of Future Consequences Predict Academic Performance Among College Drinkers. Experimental and Clinical Psychopharmacology, 25(5), 412-421. https://doi.org/10.1037/pha0000143

  

 

Aghaei Chadegani, A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ale Ebrahim, N. (2013, April 27). A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Social Science, 9(5), 18-26. https://doi.org/10.5539/ass.v9n5p18

  

 

Aguilar, S. J., Karabenick, S. A., Teasley, S. D., & Baek, C. (2021, Mar). Associations between learning analytics dashboard exposure and motivation and self-regulated learning. Computers & Education, 162, Article 104085. https://doi.org/10.1016/j.compedu.2020.104085

  

 

Ahn, J., Campos, F., Hays, M., & DiGiacomo, D. (2019). Designing in Context: Reaching beyond Usability in Learning Analytics Dashboard Design. Journal of Learning Analytics, 6(2), 70-85.  

 

Akpur, U. (2017). Predictive and Explanatory Relationship Model between Procrastination, Motivation, Anxiety, and Academic Achievement. Eurasian Journal of Educational Research(69), 221-240. https://

doi.org/10.14689/ejer.2017.69.12

  

 

Albaili, M. A. (1997). Differences among low-, average-and high-achieving college students on learning and study strategies. Educational Psychology, 17(1-2), 171-177.  

 

Alexander, Hfner, Verena, Oberst, Armin, & Stock. (2014). Avoiding procrastination through time management: an experimental intervention study. Educational Studies, 40(3), 352-360.  

 

Aljohani, N. R., Davis, H. C., & Ally, M. (2016). Student-centered learning analytics dashboards to empower students to take responsibility for their learning. In Transforming education in the Gulf region (pp. 167-177). Routledge.  

 

Alyahyan, E., & Dustegor, D. (2020, Feb). Predicting academic success in higher education: literature review and best practices. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239

-

020

-

0177

-

7

  

 

Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155-173.  

 

Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020a, Sep). Self-regulated learning strategies and non-academic outcomes in higher education blended learning environments: A one decade review. Education and Information Technologies, 25(5), 3677-3704. https://doi.org/10.1007

/s10639

-

020

-

10134

-

2

  

 

Anthonysamy, L., Koo, A. C., & Hew, S. H. (2020b, Jul). Self-regulated learning strategies in higher education: Fostering digital literacy for sustainable lifelong learning. Education and Information Technologies, 25(4), 2393-2414. https://doi.org/10.1007/s10639

-

020

-

10201

-

8

  

 

Araujo, A. M., Gomes, C. M. A., Almeida, L. S., & Nunez, J. C. (2019, Jan). A latent profile analysis of first-year university students' academic expectations. Anales De Psicologia, 35(1), 58-67. https://doi.org/10.6018/analesps.35.1.299351

  

 

Ardasheva, Y., Wang, Z., Adesope, O. O., & Valentine, J. C. (2017). Exploring effectiveness and moderators of language learning strategy instruction on second language and self-regulated learning outcomes. Review of Educational Research, 87(3), 544-582.  

 

Artino, A. (2007). Self-regulated learning in online education: A review of the empirical literature. International  Journal of Instructional Technology and Distance  Learning, 4(6), 3-18. http://itdl.org/Journal/Jun_07/art

icle01.htm

  

 

Asikainen, H., & Gijbels, D. (2017). Do Students Develop Towards More Deep Approaches to Learning During Studies? A Systematic Review on the Development of Students' Deep and Surface Approaches to Learning in Higher Education. Educational Psychology Review, 29(2), 1-30.  

 

Astin, A. W. (1990). Assessment for excellence: The philosophy and practice of assessment and evaluation in higher education. The Journal of Higher Education, 63(6), 717-720.  

 

Aurah, C. M. (2013). The Effects of Self-efficacy Beliefs and Metacognition on Academic Performance.  

 

Azevedo, R., & Gasevic, D. (2019, Jul). Analyzing Multimodal Multichannel Data about Self-Regulated Learning with Advanced Learning Technologies: Issues and Challenges. Computers in Human Behavior, 96, 207-210. https://doi.org/10.1016/j.chb.2019.03.025

  

 

Azevedo, R., & Gaševic, D. (2019). Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges. Computers in Human Behavior, 96, 207-210.  

 

Aznar-Diaz, I., Romero-Rodriguez, J. M., Garcia-Gonzalez, A., & Ramirez-Montoya, M. S. (2020). Mexican and Spanish university students' Internet addiction and academic procrastination: Correlation and potential factors. PLoS One, 15(5), e0233655. https://doi.org/10.1371/journal.pone.023365

5

  

 

B., K. R. (2016). Principles and Practice of Structural Equation Modeling, 4th ed. New York: The Guilford Press.  

 

Bacon, D. R., & Bean, B. (2006). GPA in research studies: An invaluable but neglected opportunity. Journal of Marketing Education, 28(1), 35-42. https://doi.org/10.1177/0273475305284638

  

 

Baek, C., & Doleck, T. Educational Data Mining versus Learning Analytics: A Review of Publications From 2015 to 2019. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1943689

  

 

Baihua, L., Qin, Z., & Yuting, C. (2020). The Effect of mobile phone addiction on academic self-efficacy in college students: the mediating role of academic procrastination. Science and technology horizon, 315(21), 136-138.  

 

Bakker, A. B., & de Vries, J. D. (2021, Jan). Job Demands-Resources theory and self-regulation: new explanations and remedies for job burnout. Anxiety Stress and Coping, 34(1), 1-21. https://doi.org/10.1080/10615806.2020.1797695

  

 

Bakracevic Vukman, K., & Licardo, M. (2010). How cognitive, meta-cognitive, motivational, and emotional self-regulation influence school performance in adolescence and early adulthood. Educational Studies, 36(3), 259-268. http://dx.doi.org/10.1080/

03055690903180376  

 

Balkis, M., & Duru, E. (2016). Procrastination, self-regulation failure, academic life satisfaction, and affective well-being: underregulation or misregulation form. European Journal of Psychology of Education, 31(3), 439-459. https

 ://doi.org/10.1007/s1021 2-015-0266-5  

 

Bandura, A. (1982). Self-efficacy mechanism in human agency. Am Psychol, 37(2), 122-147. https://doi.org/10.1037/0003

-

066X.37.2.122

  

 

Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28).  

 

Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175.  

 

Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational behavior and human decision processes, 50(2), 248-287.  

Bandura, A. (1997). Self-efficacy: the exercise of control. Choice Reviews Online, 35(03). https://doi.org/10.5860/choice.35

-

1826

  

 

Baron Levi, J. (2020). meta-cognitive Strategies. In The Hairy Bikie and Other meta-cognitive Strategies (pp. 27-35). https://doi.org/10.1007/978

-

3

-

030

-

46618

-

3_5

  

 

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research  conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022

-

3514.51.6.1173

  

 

Barton, B. A., Adams, K. S., Browne, B. L., & Arrastia-Chisholm, M. C. (2018). The effects of social media usage on attention, motivation, and academic performance. Active Learning in Higher Education, 22(1), 11-22. https://doi.org/10.1177/1469787418782817

  

 

Batool, S. S. (2020, Jun). Academic achievement: Interplay of positive parenting, self-esteem, and academic procrastination. Australian Journal of Psychology, 72(2), 174-187. https://doi.org/10.1111/ajpy.12280

  

 

Beishuizen, J., & Steffens, K. (2011). A conceptual framework for research on self-regulated learning. In Self-regulated learning in technology enhanced learning environments (pp. 1-19). Brill Sense.  

 

Bembenutty, H. (2007). Self-regulation of learning and academic delay of gratification: Gender and ethnic differences among college students. Journal of advanced academics, 18(4), 586-616.  

 

Bembenutty, H. (2009). Academic delay of gratification, self-efficacy, and time management among academically unprepared college students. Psychological Reports, 104(2), 613-623.  

 

Bentler, P. M. (2005). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software.  

 

Bodily, R., Kay, J., Aleven, V., Jivet, I., Davis, D., Xhakaj, F., & Verbert, K. (2018). Open learner models and learning analytics dashboards: a systematic review. Proceedings of the 8th international conference on learning analytics and knowledge,  

 

Boekaerts, M. (1996). Coping with stress in childhood and adolescence. Handbook of coping: Theory, research, and applications, 452-484.  

 

Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7(2), 161-186. http://doi.org/10.1016/S0959-4752(96)00015-1  

 

Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31(6), 445-457.  

Boekaerts, M., Maes, S., & Karoly, P. (2005). Self-regulation across domains of applied psychology: Is there an emerging consensus? Applied Psychology, 54(2), 149-154.  

 

Bolhuis, S. (2003). Towards process-oriented teaching for self-directed lifelong learning: a multidimensional perspective. Learning and Instruction, 13(3), 327-347. http://doi.org/10.1016/S0959-4752(02)00008-7  

 

Bollen, K. A., & Stine, R. (1990). Direct and indirect effects  Classical and bootstrap estimates of variability. Sociological Methodology, 20, 115-140. https://doi.org/

 https://doi.org/10.2307/271084

  

 

Bollen, K. A., & Stine, R. A. (1992). Bootstrapping Goodness-of-Fit Measures in Structural Equation Models. Sociological Methods & Research, 21(2), 205-229.  

 

Bollen, K. A., & Stine, R. A. (2016). Bootstrapping Goodness-of-Fit Measures in Structural Equation Models. Sociological Methods & Research, 21(2), 205-229. https://doi.org/10.1177/0049124192021002004

  

 

Bolton, K., & Botha, W. (2015). English in China's universities: Past and present. World Englishes, 34(2), 190-210.  

 

Boomsma, A. (1982). The robustness of LISREL against small sample sizes in factor analysis models. In K.G. Jöreskog & H. Wold (Eds.), Systems under indirect observation: Causality, structure, prediction (Part I).  

 

Borkowski, J. G. (1996). Metacognition: Theory or chapter heading? Learning and Individual Differences, 8(4), 391-402.  

 

Botes, E., Gottschling, J., Stadler, M., & Greiff, S. (2020). A systematic narrative review of International Posture: What is known and what still needs to be uncovered. System, 90. https://doi.org/10.1016/j.system.2020.102232

  

 

Britton, B. K., & Tesser, A. (1991). Effects of time-management practices on college grades. Journal of Educational Psychology, 83(3), 405.  

 

Broadbent, J. (2017). Comparing online and blended learner's self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24-32. https://doi.org/10.1016/j.i

heduc.2017.01.004

  

 

Broadbent, J., & Fuller-Tyszkiewicz, M. (2018, Dec). Profiles in self-regulated learning and their correlates for online and blended learning students. Etr&D-Educational Technology Research and Development, 66(6), 1435-1455. https://doi.org/10.1007/s11423

-

018

-

9595

-

9

  

 

Broadbent, J., & Poon, W. L. (2015, Oct). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007

  

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007

  

 

Brody, G. H., Yu, T. Y., Chen, E., & Miller, G. E. (2020, Oct). Persistence of Skin-Deep Resilience in African American Adults. Health Psychology, 39(10), 921-926. https://doi.org/10.1037/hea0000945

  

 

Brown, J., McDonald, M., Besse, C., Manson, P., McDonald, R., Rohatinsky, N., & Singh, M. (2021, Mar-Apr). Nursing Students' Academic Success Factors A Quantitative Cross-sectional Study. Nurse Educator, 46(2), E23-E27. https://doi.org/10

.1097/nne.0000000000000882

  

 

Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. New York: Guilford  

 

Brunsting, N. C., Zachry, C., & Takeuchi, R. (2018, Sep). Predictors of undergraduate international student psychosocial adjustment to US universities: A systematic review from 2009-2018. International Journal of Intercultural Relations, 66, 22-33. https://doi.org/10.1016/j.ijintrel.2018.06.002

  

 

Burlison, J. D., Murphy, C. S., & Dwyer, W. O. (2009). Evaluation of the motivated strategies for learning questionnaire for predicting academic performance in college students of varying scholastic aptitude. College Student Journal, 43(4), 1313-1324.  

 

Burnam, A., Komarraju, M., Hamel, R., & Nadler, D. R. (2014, Dec). Do adaptive perfectionism and self-determined motivation reduce academic procrastination? Learning and Individual Differences, 36, 165-172. https://doi.org/10.1016

/j.lindif.2014.10.009

  

 

Burrus, J., Jackson, T., Holtzman, S., Roberts, R. D., & Mandigo, T. (2013). Examining the efficacy of a time management intervention for high school students. ETS Research Report Series, 2013(2), i-35.  

 

Byrne, B. M. (2011). Structural Equation Modeling with Mplus  Basic Concepts, Applications, and Programming. Multivariate Applications Series.  

 

Byrne, B. M. (2013). Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (2rd edition). Multivariate Applications Series.  

 

Bytamar, J. M., Saed, O., & Khakpoor, S. (2020). Emotion Regulation Difficulties and Academic Procrastination. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.524

588

  

 

Callan, G. L., & Cleary, T. J. (2018, Mar). Multidimensional Assessment of Self-Regulated Learning With Middle School Math Students. School Psychology Quarterly, 33(1), 103-111. https://doi.org/10.10

37/spq0000198

  

Callan, G. L., & Cleary, T. J. (2019, Apr). Examining cyclical phase relations and predictive influences of self-regulated learning processes on mathematics task performance. Metacognition and Learning, 14(1), 43-63. https://doi.org/10.1007/s11409

-

019

-

09191

-

x

  

 

Camara, W. J., & Echternacht, G. (2000). The SAT [R] I and High School Grades: Utility in Predicting Success in College. Research Notes. https://doi.org files.eric.ed.gov/fulltext/ED446592  

 

Cao, L. (2012). Examining "active" procrastination from a self-regulated learning perspective. Educational Psychology, 32(4), 515-545.  

 

Cavusoglu, C., & Karatas, H. (2017). Academic Procrastination of Undergraduates: Self-determination Theory and Academic Motivation. The Anthropologist, 20(3), 735-743. https://doi.org/10.1080/09720073.2015.11891780

  

 

Çelik, R., Orçan, F., & Altun, F. (2020). Investigating the Relationship between Life Satisfaction and Academic Self-Efficacy on College Students’ Organizational Identification. International Journal of Psychology and Educational Studies, 7(1), 76-85. ht

tps://doi.org/10.17220/ijpes.2020.01.007

  

 

Cerezo, R., Sanchez-Santillan, M., Paule-Ruiz, M. P., & Nunez, J. C. (2016, May). Students' LMS interaction patterns and their relationship with achievement: A case study in higher education. Computers & Education, 96, 42-54. https://doi.org/10.1016/j.compedu.2016.02.006

  

 

Cerezo, R., Sánchez-Santillán, M., Paule-Ruiz, M. P., & Núñez, J. C. (2016). Students' LMS interaction patterns and their relationship with achievement: A case study in higher education. Computers & Education, 96, 42-54. https://doi.org/10.1016/j.compedu.2016.02.006

  

 

Chauvin, R., Fenouillet, F., & Scott Brewer, S. (2020). An investigation of the structure and role of English as a Foreign Language self-efficacy beliefs in the workplace. System, 91. https://doi.org/10.1016/j.system.2020.102251

  

 

Chehrzad, M., Ghanbari, A., Rahmatpour, P., Barari, F., Pourrajabi, A., & Alipour, Z. (2017). Academic procrastination and related factors in students of Guilan University of Medical Sciences. The Journal of Medical Education and Development, 11(4), 352-362.  

 

Chen, B.-B. (2019, Feb). Academic Procrastination and Bedtime among Chinese Undergraduates: The Indirect and Moderating Effects of Sensation Seeking and Goal Disengagement. Current Psychology, 38(1), 187-193. https://doi.org/10.1007/s12144

-

017

-

9605

-

9

  

 

Chen, B. B. (2019, Feb). Academic Procrastination and Bedtime among Chinese Undergraduates: The Indirect and Moderating Effects of Sensation Seeking and Goal Disengagement. Current Psychology, 38(1), 187-193. https://doi.org/10.1007/s12144

-

017

-

9605

-

9

  

Chen, B. B., & Han, W. (2017, Nov). Ecological Assets and Academic Procrastination among Adolescents: The Mediating Role of Commitment to Learning. Frontiers in Psychology, 8, Article 1971. https://doi.org/10.3389/fpsyg.2017.01971

  

 

Chen, E., Shalowitz, M. U., Story, R. E., Hayen, R., Leigh, A. K. K., Hoffer, L. C., Austin, M. K., Lam, P. H., Brody, G. H., & Miller, G. E. (2019, Aug). The costs of high self-control in Black and Latino youth with asthma: Divergence of mental health and inflammatory profiles. Brain Behavior and Immunity, 80, 120-128. https://doi.org/10.1016/j.bbi.2019.02.031

  

 

Chen, E., Yu, T. Y., Siliezar, R., Drage, J. N., Dezil, J., Miller, G. E., & Brody, G. H. (2020, Aug). Evidence for skin-deep resilience using a co-twin control design: Effects on low-grade inflammation in a longitudinal study of youth. Brain Behavior and Immunity, 88, 661-667. https://doi.org/10.1016/j.bbi.2020.04.070

  

 

Chen, X. (2022). Self-control and Sleep Problems among Adolescents: the Mediation Role of Procrastination. Master Dissertation of East China Normal University.  

 

Chen, X., Hao, J., Chen, J., Hua, S., & Hao, T. (2018). A bibliometric analysis of the research status of the technology enhanced language learning. International Symposium on Emerging Technologies for Education,  

 

Chen, X., Wang, C., & Kim, D. H. (2019). Self-Regulated Learning Strategy Profiles Among English as a Foreign Language Learners [Article]. Tesol Quarterly. https://doi.org/10.1002/tesq.540

  

 

Chen, X., Zou, D., Xie, H., & Wang, F. L. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239

-

020

-

00239

-

6

  

 

Chew, B., Satpathy, A., & Wong, E. (2020). Geospatial analyses to determine academic success factors in California’s K-12 education. Annals of GIS, 26(2), 81-100.  

 

Cho, H. J., Yough, M., & Levesque-Bristol, C. (2020). Relationships between beliefs about assessment and self-regulated learning in second language learning. International Journal of Educational Research, 99, 101505, Article Unsp 101505. https://doi.org/10.1016/j.ijer.2019.101505

  

 

Chow, H. P. (2011). Procrastination among undergraduate students: Effects of emotional intelligence, school life, self-evaluation, and self-efficacy. Alberta Journal of Educational Research, 57(2), 234-240.  

 

Chun Chu, A. H., & Choi, J. N. (2005). Rethinking procrastination: Positive effects of" active" procrastination behavior on attitudes and performance. The Journal of social psychology, 145(3), 245-264.  

 

Claessens, B. J., Van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of the time management literature. Personnel review.  

 

Cleary, T. J., Slemp, J., Reddy, L. A., Alperin, A., & Cedar, T. (2021). Characteristics and Uses of SRL Microanalysis across Diverse Contexts, Tasks, and Populations: A Systematic Review.  

 

Corkin, D. M., & a, Shirley L. Yu a,1 , Suzanne F. Lindt b. (2011). Comparing active delay and procrastinationfrom a self-regulated learning perspective. Learning and Individual Differences, 21, 602-606. https://doi.org/10.1016/j.lindif.2011.07.005

  

 

Corkin, D. M., Shirley, L. Y., & Lindt, S. F. (2011). Comparing active delay and procrastination from a self-regulated learning perspective. Learning and Individual Differences, 21(5), 602-606.  

 

Cosnefroy, L., Fenouillet, F., Mazé, C., & Bonnefoy, B. (2018). On the relationship between the forethought phase of self-regulated learning and self-regulation failure. A paraître dans IIER (Issues in Educational Research) 28(2).  

 

Credé, M., & Phillips, L. A. (2011). A meta-analytic review of the Motivated Strategies for Learning Questionnaire. Learning and Individual Differences, 21(4), 337-346.  

 

Crisp, G., Taggart, A., & Nora, A. (2014). Undergraduate Latina/o students: A systematic review of research identifying factors contributing to academic success outcomes. Review of Educational Research, 85(2), 249-274. https://doi.org/10.3102/003465431

4551064

  

 

Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological methods, 1(1), 16-29.  

 

Daily, S. M., Smith, M. L., Lilly, C. L., Davidov, D. M., Mann, M. J., & Kristjansson, A. L. (2020, Sep). Using School Climate to Improve Attendance and Grades: Understanding the Importance of school Satisfaction among middle and high school students. Journal of School Health, 90(9), 683-693. https://doi.org/10.1111/josh.12929

  

 

de la Fuente, J., Fernandez-Cabezas, M., Cambil, M., Vera, M. M., Gonzalez-Torres, M. C., & Artuch-Garde, R. (2017). Linear Relationship between Resilience, Learning Approaches, and Coping Strategies to Predict Achievement in Undergraduate Students. Front Psychol, 8, 1039. https://doi.org/10.3389/fpsyg.2017.01039

  

 

de la Fuente, J., Sander, P., Garzon-Umerenkova, A., Vera-Martinez, M. M., Fadda, S., & Gaetha, M. L. (2021, Feb). Self-Regulation and Regulatory Teaching as Determinants of Academic Behavioral Confidence and Procrastination in 

Undergraduate Students. Frontiers in Psychology, 12, Article 602904. https://doi.org/10.3389/fpsyg.2021.602904

  

 

De Smul, M., Heirweg, S., Van Keer, H., Devos, G., & Vandevelde, S. (2018). How competent do teachers feel instructing self-regulated learning strategies? Development and validation of the teacher self-efficacy scale to implement self-regulated learning. Teaching and Teacher Education, 71, 214-225. http://doi.org/10.1016/j.tate.2018.01.

001

  

 

DeCarlo, L. T. (1997). On the meaning and use of kurtosis. Psychological methods, 2(3), 292-307.  

 

Dewitte, S., & Schouwenburg, H. C. (2002). Procrastination, temptations, and incentives: The struggle between the present and the future in procrastinators and the punctual. European Journal of Personality, 16(6), 469-489.  

 

Dignath-van Ewijk, C., Dickhäuser, O., & Büttner, G. (2013). Assessing how teachers enhance self-regulated learning: A multiperspective approach. Journal of Cognitive Education and Psychology, 12(3), 338-358. http://doi.org/10.1891/1945

-

8959.12.3.338

  

 

Dignath, C., Buettner, G., & Langfeldt, H.-P. (2008). How can primary school students learn self-regulated learning strategies most effectively?: A meta-analysis on self-regulation training programmes. Educational Research Review, 3(2), 101-129.  

 

Dignath, C., & Büttner, G. (2008). Components of fostering self-regulated learning among students. A meta-analysis on intervention studies at primary and secondary school level. Metacognition and Learning, 3(3), 231-264. http://doi.org/10.1007/s11409

-

008

-

9029

-

x

  

 

Dignath, C., & Mevarech, Z. (2021, Dec). Introduction to special issue mind the gap between research and practice in the area of teachers' support of metacognition and SRL. Metacognition and Learning, 16(3), 517-521. https://doi.org/10.1007/s11409

-

021

-

09285

-

5

  

 

Dinsmore, D. L., Alexander, P. A., & Loughlin, S. M. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20(4), 391-409. http://10.1007/s10648

-

008

-

9083

-

6

  

 

Donnelly, J. E., Hillman, C. H., Castelli, D., Etnier, J. L., Lee, S., Tomporowski, P., Lambourne, K., & Szabo-Reed, A. N. (2016, Jun). Physical Activity, Fitness, Cognitive Function, and Academic Achievement in Children: A Systematic Review. Medicine and Science in Sports and Exercise, 48(6), 1197-1222. https://doi.org/10.1249/mss.0000000000000901

  

 

Dörnyei, Z. (2008). Motivation strategies in the language classroom. Ernst Klett Sprachen.  

 

Dzinovic, V., Devic, R., & Deric, I. (2019). The role of self-control, self-efficacy, metacognition, and motivation in predicting school achievement. Psihologija, 52(1), 35-52. https://doi.org/10.2298/psi180202027d

  

 

Eggen, & PaulD. (2020). Educational psychology : windows on classrooms / 5th ed. Educational psychology : windows on classrooms / 5th ed.  

 

Elaish, M. M., Shuib, L., Ghani, N. A., Mujtaba, G., & Ebrahim, N. A. (2019). A bibliometric analysis of m-learning from topic inception to 2015. International Journal of Mobile Learning and Organisation, 13(1), 91-112.  

 

Enders, C. K. (2005). An SAS Macro for Implementing the Modified Bollen Stine Bootstrap for Missing Data: Implementing the Bootstrap Using Existing Structural Equation Modeling Software. STRUCTURAL EQUATION MODELING, 12(4), STRUCTURAL EQUATION MODELING.  

 

Ergen, B., & Kanadli, S. (2017). The effect of self-regulated learning strategies on academic achievement: A meta-analysis study. Eurasian Journal of Educational Research, 17(69), 55-74.  

 

Farruggia, S. P., Han, C.-w., Watson, L., Moss, T. P., & Bottoms, B. L. (2016). Noncognitive Factors and College Student Success. Journal of College Student Retention: Research, Theory & Practice, 20(3), 308-327. https://doi.org/10.1177/1521025116666539

  

 

Fernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., & Van Erven, G. (2019, Jan). Educational data mining: Predictive analysis of academic performance of public school students in the capital of Brazil. Journal of Business Research, 94, 335-343. https://doi.org/10.1016/j.jbus

res.2018.02.012

  

 

Fernie, B. A., Kopar, U. Y., Fisher, P. L., & Spada, M. M. (2018, Nov). Further development and testing of the meta-cognitive model of procrastination: Self-reported academic performance. Journal of Affective Disorders, 240, 1-5. https://doi.org/10.1016/j.jad.2018.07.018

  

 

Ferrari, J. R. (2001). Procrastination as self-regulation failure of performance: effects of cognitive load, self-awareness, and time limits on ‘working best under pressure’. European Journal of Personality, 15(5), 391-406.  

 

Ferrari, J. R. (2004). Trait Procrastination in Academic Settings: An Overview of Students Who Engage in Task Delays.  

 

Ferrari, J. R., & Díaz-Morales, J. F. (2007). Perceptions of self-concept and self-presentation by procrastinators: Further evidence. The Spanish journal of psychology, 10(1), 91.  

 

Ferrari, J. R., Johnson, J. L., & McCown, W. G. (1995). Procrastination and Task Avoidance: Theory, Research, and Treatment. New York: Plenum Press. https://doi.org/10.1007/978

-

1

-

4899

-

0227

-

6

  

Ferrari, J. R., O'Callaghan, J., & Newbegin, I. (2005). Prevalence of procrastination in the United States, United Kingdom,and Austrilia  Arousal and aviodance delays among adults. North Amarican Journal of Psychology, 7(1), 1-6.  

 

Ferreira, P. C., & Simão, A. M. V. (2012). Teaching practices that foster self-regulated learning: A case study. Educational Research eJournal, 1(1), 1-16. http://doi.org/10.5838/erej.2012.11.01

  

 

Fisher, M., King, J., & Tague, G. (2001, Oct). Development of a self-directed learning readiness scale for nursing education. Nurse Educ Today, 21(7), 516-525. https://doi.org/10.1054/nedt.2001.0589

  

 

Fisher, M. J., & King, J. (2010, Jan). The Self-Directed Learning Readiness Scale for nursing education revisited: a confirmatory factor analysis. Nurse Educ Today, 30(1), 44-48. https://doi.org/10.1016/j.nedt.2009.05.020

  

 

Flanigan, A. E. (2018). How Instructional Design, Academic Motivation, and Self-Regulated Learning Tendencies Contribute to Cyber-Slacking (Doctoral dissertation, The University of Nebraska - Lincoln).  

 

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906. https://doi.org/10.1037/0003

-

066X.34.10.906

  

 

Fleckenstein, J., Keller, S., Krüger, M., Tannenbaum, R. J., & Köller, O. (2020). Linking TOEFL iBT® writing rubrics to CEFR levels: Cut scores and validity evidence from a standard setting study. Assessing Writing, 43. https://doi.org/10.1016/j.asw.2019.100420

  

 

Fleckenstein, J., Leucht, M., Pant, H. A., & Köller, O. (2016). Proficient beyond borders: Assessing non-native speakers in a native speakers’ framework. Large-scale assessments in education, 4(1), 1-19.  

 

Fokkens-Bruinsma, M., Vermue, C., Deinum, J. F., & van Rooij, E. (2021, Oct). First-year academic achievement: the role of academic self-efficacy, self-regulated learning and beyond classroom engagement. Assessment & Evaluation in Higher Education, 46(7), 1115-1126. https://doi.org/10.1080/02602938.2020.1845606

  

 

Fritz, M. S., & Mackinnon, D. P. (2007, Mar). Required sample size to detect the mediated effect. Psychol Sci, 18(3), 233-239. https://doi.org/10.1111/j.1467

-

9280.2007.01882.x

  

 

Ganda, D. R., & Boruchovitch, E. (2018). Promoting self-regulated learning of Brazilian Preservice student Teachers: results of an intervention Program. Frontiers in Education,  

 

Gao, K., Zhang, R., Xu, T., Zhou, F., & Feng, T. (2021, Jan 9). The effect of conscientiousness on procrastination: The interaction between the self-control 

and motivation neural pathways. Hum Brain Mapp. https://doi.org/10.1002/hbm.25333

  

 

Gao, S., Mokhtarian, P. L., & Johnston, R. A. (2008). Nonnormality of data in structural equation models. University of California Transportation Center, Working Papers.  

 

Gardner, R. C., & Lambert, W. E. (1959). Motivational variables in second-language acquisition. Canadian Journal of Psychology/Revue canadienne de psychologie, 13(4), 266.  

 

Garzon-Umerenkova, A., de la Fuente, J., Amate, J., Paoloni, P. V., Fadda, S., & Perez, J. F. (2018, Apr). A Linear Empirical Model of Self-Regulation on Flourishing, Health, Procrastination, and Achievement, Among University Students. Frontiers in Psychology, 9, Article 536. https://doi.org/10.3389/fpsyg.2018.00536

  

 

Giunchiglia, F., Zeni, M., Gobbi, E., Bignotti, E., & Bison, I. (2018, May). Mobile social media usage and academic performance. Computers in Human Behavior, 82, 177-185. https://doi.org/10.1016/j.chb.2017.12.041

  

 

Goroshit, M. (2018). Academic procrastination and academic performance: An initial basis for intervention. . Journal of prevention & intervention in the community, 46(2), 131-142.  

 

Green, J. M., & Oxford, R. (1995). A closer look at learning strategies, L2 proficiency, and gender. Tesol Quarterly, 29(2), 261-297.  

 

Greene, J., & Schunk, D. (2017). Historical, contemporary, and future perspectives on self-regulated learning and performance. Handbook of Self-Regulation of Learning and Performance, 17-32.  

 

Greene, J. A. (2021, Dec). Teacher support for metacognition and self-regulated learning: a compelling story and a prototypical model. Metacognition and Learning, 16(3), 651-666. https://doi.org/10.1007/s11409

-

021

-

09283

-

7

  

 

Greene, J. A., Copeland, D. Z., Deekens, V. M., & Seung, B. Y. (2018). Beyond knowledge: Examining digital literacy's role in the acquisition of understanding in science. Computers & Education, 117, 141-159. https://doi.org/10.

1016/j.compedu.2017.10.003

  

 

Grunschel, C., Patrzek, J., & Fries, S. (2013). Exploring different types of academic delayers: A latent profile analysis. Learning and Individual Differences, 23, 225-233. http://dx.doi.org/10.1016/j.lindif.2012.09.014

  

 

Grunschel, C., Schwinger, M., Steinmayr, R., & Fries, S. (2016, Jul). Effects of using motivational regulation strategies on students' academic procrastination, academic performance, and well-being. Learning and Individual Differences, 49, 162-170. https://doi.org/10.1016/j.lindif.2016.06.008

  

Guo, Y.-M., Huang, Z.-L., Guo, J., Guo, X.-R., Li, H., Liu, M.-Y., Ezzeddine, S., & Nkeli, M. J. (2021). A bibliometric analysis and visualization of blockchain. Future Generation Computer Systems, 116, 316-332. https://doi.org/10.1016/j.future.2020.10.023

  

 

Guo, Y., Xu, J., & Liu, X. (2018). English language learners’ use of self-regulatory strategies for foreign language anxiety in China. System, 76, 49-61.  

 

Gustavson, D. E., Miyake, A., Hewitt, J. K., & Friedman, N. P. (2014). Genetic relations among procrastination, impulsivity, and goal-management ability: Implications for the evolutionary origin of procrastination. Psychological Science, 25(6), 1178-1188.  

 

Gutierrez, M., & Tomas, J. M. (2019, Jul). The role of perceived autonomy support in predicting university students' academic success mediated by academic self-efficacy and school engagement. Educational Psychology, 39(6), 729-748. https://doi.org/10.1080/01443410.2019.1566519

  

 

Gutiérrez, M., & Tomás, J. M. (2019). The role of perceived autonomy support in predicting university students’ academic success mediated by academic self-efficacy and school engagement. Educational Psychology, 39(6), 729-748. https://doi.org/10.1080/01443410.2019.1566519

  

 

Häfner, A., Stock, A., Pinneker, L., & Ströhle, S. (2014). Stress prevention through a time management training intervention: An experimental study. Educational Psychology, 34(3), 403-416.  

 

Hailikari, T., Katajavuori, N., & Asikainen, H. (2021). Understanding procrastination  A case of a study skills course. Social Psychology of Education 24, 589-606. https://doi.org/10.1007/s11218

-

02

1

-

09621

-

2

  

 

Hair. (2009). Multivariate Data Analysis 7th ed.  

 

Hamidi, A., & Ramavandi, B. (2020). Evaluation and scientometric analysis of researches on air pollution in developing countries from 1952 to 2018. Air Quality, Atmosphere & Health, 13, 797-806.  

 

Hanger, S., Groom, K., Yunger, P., & Konda, S. (2019, Sep). Don't procrastinate, ventilate! - a quality improvement project. European Respiratory Journal, 54. https://doi.org/10.1183

/13993003.congress

-

2019.PA2318

  

 

Hao, T., Chen, X., Li, G., & Yan, J. (2018). A bibliometric analysis of text mining in medical research. Soft Computing, 22(23), 7875-7892.  

 

Harlow Lavoie, L. (1985). Behavior of some elliptical theory estimators with nonnormal data in a covariance structures framework : A Monte Carlo study. Unpublished doctoral dissertation, University of California, Los Angeles,.  

 

Harriott, J. S., Ferrari, J. R., & Dovidio, J. F. (1996). Distractibility, daydreaming, and self-critical cognitions as determinants of indecision. Journal of Social Behavior and Personality, 11(2), 337-344.  

 

Hartley, K., Bendixen, L. D., Gianoutsos, D., & Shreve, E. (2020, Sep). The smartphone in self-regulated learning and student success: clarifying relationships and testing an intervention. International Journal of Educational Technology in Higher Education, 17(1), Article 52. https://doi.org/10.1186/s41239

-

020

-

00230

-

1

  

 

Harzing, A.-W., & Pudelko, M. (2013). Language competencies, policies and practices in multinational corporations: A comprehensive review and comparison of Anglophone, Asian, Continental European and Nordic MNCs. Journal of World Business, 48(1), 87-97. https://doi.org/10.1016/j.jwb.2012.06.011

  

 

Hayat, A. A., Shateri, K., Amini, M., & Shokrpour, N. (2020, Mar). Relationships between academic self-efficacy, learning-related emotions, and meta-cognitive learning strategies with academic performance in medical students: a structural equation model. Bmc Medical Education, 20(1), Article 76. https://doi.org/10.1186/s12909

-

020

-

01995

-

9

  

 

Hayat, A. A., Shateri, K., Amini, M., & Shokrpour, N. (2020). Relationships between academic self-efficacy, learning-related emotions, and meta-cognitive learning strategies with academic performance in medical students: a structural equation model. Bmc Medical Education, 20(1), 1-11.  

 

Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium. Communication Monographs, 76(4), 408-420. https://doi.org/10.1080/036377509033

10360

  

 

Heckhausen, H., & Kuhl, J. (1985). From wishes to action: The dead ends and short cuts on the long way to action. In ED Goal directed behavior: The concept of action in psychology (pp. 134-159). Erlbaum.  

 

Hen, M., & Goroshit, M. (2014, Mar-Apr). Academic procrastination, emotional intelligence, academic self-efficacy, and GPA: a comparison between students with and without learning disabilities. J Learn Disabil, 47(2), 116-124. https://doi.org/10.1177/0022219412439325

  

 

Herndon, J. S., Bembenutty, H., & Gill, M. G. (2015, Nov). The role of delay of gratification, substance abuse, and violent behavior on academic achievement of disciplinary alternative middle school students. Personality and Individual Differences, 86, 44-49. https://doi.org/10.1016/j.paid.2015.05.028

  

 

Høigaard, R., Kovac, V. B., Øverby, N. C., & Haugen, T. (2015). Academic self-efficacy mediates the effects of school psychological climate on academic achievement. School Psychology Quarterly, 30(1), 64. https://doi.org/10.1037/spq0000056

  

 

Hong, J. C., Lee, Y. F., & Ye, J. H. (2021). Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 174(7), 110673.  

 

Hooshyar, D., Pedaste, M., & Yang, Y. (2020, Jan). Mining Educational Data to Predict Students' Performance through Procrastination Behavior. Entropy, 22(1), Article 12. https://doi.org/10.3390/e22010012

  

 

Hourieh, N., Ding, Y., Wang, Q., Craven, J., & Chen, E. (2019). General Personality Traits of Engineering Students and Their Relationship with Academic Achievement. International Journal of Engineering Education, 35(1), 76-87.  

 

Howell, A. J., & Watson, D. C. (2007). Procrastination: Associations with achievement goal orientation and learning strategies. Personality and Individual Differences, 43(1), 167-178.  

 

Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118

  

 

Hu, X., Gong, Y., Lai, C., & Leung, F. K. S. (2018, Oct). The relationship between ICT and student literacy in mathematics, reading, and science across 44 countries: A multilevel analysis. Computers & Education, 125, 1-13. https://doi.org/10.1016/j.comp

edu.2018.05.021

  

 

Huang, Z., & Pan, J. (2011). The factor analysis on the “dumb English” education problem in China, Japan and Korea. Studies in Foreign Education, 38(8), 5-8.  

 

Ibrahim, M. (2017). Antecedents of Intrinsic Motivation, Metacognition and Their Effects on Students' Academic Performance in Fundamental Knowledge for Matriculation Courses. malaysian journal of learning & instruction, 14(2), 211-246.  

 

Jackson, D. L., Gillaspy, J. A., & Purc-Stephenson, R. (2009, Mar). Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods, 14(1), 6-23. https://doi.org/10.1037/a0014694

  

 

Jackson, T., Weiss, K. E., Lundquist, J. J., & Hooper, D. (2003). THE IMPACT OF HOPE, PROCRASTINATION, AND SOCIAL ACTIVITY ON ACADEMIC PERFORMANCE OF MIDWESTERN COLLEGE STUDENTS. Education, 124(2).  

 

Jamali, M., Noroozi, A., & Tahmasebi, R. (2013). Factors affecting academic self-efficacy and its association with academic achievment among students of Bushehr University Medical Sciences 2012-13. Iranian Journal of Medical Education, 13(8), 629-641.  

 

 

Jansen, R. S., van Leeuwen, A., Janssen, J., Jak, S., & Kester, L. (2019, Nov). Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis. Educational Research Review, 28, Article 100292. https://doi.org/10.1016/j.edurev.2019.100292

  

 

Janssen, J. (2015). Academic procrastination: Prévalence among high school and undergraduate students and relationship to academic achievement. http://scholarworks.gsu.edu/epse_diss/

103/  

 

Jian, L., Rui, W., Sheng, L., Xia, L., Tanxiang, F., & Youyi, C. (2016). Facing the Future: Global Experience in Core Literacy Education in the 21st Century. Journal of East China Normal University (Educational Science Edition), 34(3), 17-21.  

 

Jiarui, Z., Fan, F., Jinghua, X., & Lieyu, H. (2022). The Effect of academic self-efficacy on Learning Burnout in College students: The mediating role of academic procrastination Journal of Jining Medical College, 45(04), 252-256.  

 

Jin, H. X., Wang, W. C., & Lan, X. Y. (2019, Nov). Peer Attachment and Academic Procrastination in Chinese College Students: A Moderated Mediation Model of Future Time Perspective and Grit. Frontiers in Psychology, 10, Article 2645. https://doi.org/10.3389/fpsyg.2019.02645

  

 

Joseph F. Hair JR, W. C. B., Barry J. Babin, Rolph E. Anderson. (2009). Multivariate Data Analysis (7th Edition). British: Pearson Education Limited.  

 

Kállay, É. (2012). Learning strategies and meta-cognitive awareness as predictors of academic achievement in a sample of Romanian second-year students. Cognitie, Creier, Comportament/Cognition, Brain, Behavior, 16(3).  

 

Kandemir, M. (2014). Reasons of academic procrastination: Self-regulation, academic self-efficacy, life satisfaction and demographics variables. Procedia-Social and Behavioral Sciences, 152, 188-193.  

 

Kannangara, C. S., Allen, R. E., Waugh, G., Nahar, N., Khan, S. Z. N., Rogerson, S., & Carson, J. (2018, Aug). All That Glitters Is Not Grit: Three Studies of Grit in University Students [Article]. Frontiers in Psychology, 9, 15, Article 1539. https://doi.org/10.3389/fpsyg.2018.01539

  

 

Karbalaei, A. (2010). A comparison of the meta-cognitive reading strategies used by EFL and ESL readers. The Reading Matrix, 10(2).  

 

Karemaker, V. (2021). Time Management. Notices of the American Mathematical Society, 68(5).  

 

Karlen, Y., Hirt, C. N., Liska, A., & Stebner, F. (2021, Jun). Mindsets and Self-Concepts About Self-Regulated Learning: Their Relationships With Emotions, Strategy 

Knowledge, and Academic Achievement. Frontiers in Psychology, 12, Article 661142. https://doi.org/10.3389/fpsyg.2021.661142

  

 

Katz, I., Eilot, K., & Nevo, N. (2014). "I'll do it later": Type of motivation, self-efficacy and homework procrastination. Motivation & Emotion, 38(1), 111-119. https://doi.org/10.1007/s11031

-

013

-

9366

-

1

  

 

Keller, S. (2013). Integrative Schreibdidaktik Englisch für die Sekundarstufe: Theorie, Prozessgestaltung, Empirie. BoD–Books on Demand.  

 

Kenny, D. A. (2006). Confirmatory Factor Analysis for Applied Research. New York: Guilford.  

 

Kenny, D. A. (2010). Measuring Model Fit.  

 

Kesici, S., Baloglu, M., & Deniz, M. E. (2011). Self-regulated learning strategies in relation with statistics anxiety. Learning and Individual Differences, 21(4), 472-477.  

 

Kim, E., & Seo, E. H. (2013). The relationship of flow and self-regulated learning to active procrastination. Social Behavior and Personality: an international journal, 41(7), 1099-1113.  

 

Kim, J., Jo, I.-H., & Park, Y. (2016). Effects of learning analytics dashboard: analyzing the relations among dashboard utilization, satisfaction, and learning achievement. Asia Pacific Education Review, 17(1), 13-24.  

 

Kim, K. R., & Seo, E. H. (2015, Aug). The relationship between procrastination and academic performance: A meta-analysis. Personality and Individual Differences, 82, 26-33. https://doi.org/10.1016/j.paid.2015.02.038

  

 

Kim, S., Fernandez, S., & Terrier, L. (2017, Apr). Procrastination, personality traits, and academic performance: When active and passive procrastination tell a different story. Personality and Individual Differences, 108, 154-157. https://doi.org/10.1016/j.paid.2016.12.021

  

 

Kistner, S., Rakoczy, K., Otto, B., Klieme, E., & Büttner, G. (2015). Teaching learning strategies. The role of instructional context and teacher beliefs. Journal for educational research online, 7(1), 176-197. http://www.j

-

e

-

r

-

o.com/index.php/jero/article/download/542/228

  

 

Kitsantas, A., Winsler, A., & Huie, F. (2008). Self-regulation and ability predictors of academic success during college: A predictive validity study. Journal of advanced academics, 20(1), 42-68.  

 

Klassen, R. M., Ang, R. P., Chong, W. H., Krawchuk, L. L., Huan, V. S., Wong, I. Y. F., & Yeo, L. S. (2010, Jul). Academic Procrastination in Two Settings: Motivation Correlates, Behavioral Patterns, and Negative Impact of Procrastination in Canada and Singapore. Applied Psychology-an International Review-

Psychologie Appliquee-Revue Internationale, 59(3), 361-379. https://doi.org/10.1111/j.1464

-

0597.2009.00394.x

  

 

Klassen, R. M., Krawchuk, L. L., & Rajani, S. (2008, Oct). Academic procrastination of undergraduates: Low self-efficacy to self-regulate predicts higher levels of procrastination. Contemporary Educational Psychology, 33(4), 915-931. https://doi.org/10.1016/j.cedpsych.2007.07.001

  

 

Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling(3rd Edition).  

 

Klingsieck, K. B. (2013). Procrastination. European Psychologist, 18(1), 24-34. https://doi.org/10.1027/1016

-

9040/a000138

  

 

Klingsieck, K. B. (2013). Procrastination when good things don't come to those who wait. European Psychologist, 18(1), 24-34.  

 

Koch, C. J., & Kleinmann, M. (2002). A stitch in time saves nine: Behavioural decision-making explanations for time management problems. European Journal of Work and Organizational Psychology, 11(2), 199-217. https://doi.org/d

oi:10.1080/13594320244000120

  

 

Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter? Learning and Individual Differences, 25, 67-72. http://dx.doi.org/10.1016/j.lindif.2013.01.005

  

 

 

Krispenz, A., Gort, C., Schultke, L., & Dickhauser, O. (2019, Aug). How to Reduce Test Anxiety and Academic Procrastination Through Inquiry of Cognitive Appraisals: A Pilot Study Investigating the Role of Academic Self-Efficacy. Frontiers in Psychology, 10, Article 1917. https://doi.org/10.3389/fpsyg.2019.01917

  

 

Kryshko, O., Fleischer, J., Waldeyer, J., Wirth, J., & Leutner, D. (2020). Do motivational regulation strategies contribute to university students' academic success? Learning and Individual Differences, 82, 101912.  

 

Kuh, G. D., Kinzie, J., Buckley, J. A., Bridges, B. K., & Hayek, J. C. (2006). What matters to student success:A review of the literature. Commissioned report for the National Symposium on Postsecondary Student Success: Spearheading a Dialog on Student Success. (Washington, DC: National Postsecondary Education Cooperative)  

 

Kusnierz, C., Rogowska, A. M., & Pavlova, I. (2020, Aug). Examining Gender Differences, Personality Traits, Academic Performance, and Motivation in Ukrainian and Polish Students of Physical Education: A Cross-Cultural Study. International Journal of Environmental Research and Public Health, 17(16), Article 5729. https://doi.org/10.3390/ijerph1716

5729

  

 

Lan, R., & Oxford, R. L. (2003). Language learning strategy profiles of elementary school students in Taiwan. IRAL, International Review of Applied Linguistics in Language Teaching, 41(4), 339.  

 

Lardier, D. T., Lee, C.-Y. S., Rodas, J. M., Garcia-Reid, P., & Reid, R. J. (2020). The Effect of Perceived College-Related Stress on Depression, Life Satisfaction, and School Satisfaction: The Coping Strategies of Hispanic College Students From a Hispanic Serving Institution. Education and Urban Society, 52(8), 1204-1222. https://doi.org/10.1177/0013124519896845

  

 

Latipah, E., Cahyo, H., & Himawan, H. (2021). How are the Parents Involvement, Peers and Agreeableness Personality of Lecturers Related to Self-Regulated Learning? European Journal of Educational Research, 10(1), 413-425. https://doi.org/10.12973/eu

-

jer.10.1.413

  

 

Lawson, M. J., Vosniadou, S., Van Deur, P., Wyra, M., & Jeffries, D. (2019, Mar). Teachers' and Students' Belief Systems About the Self-Regulation of Learning. Educational Psychology Review, 31(1), 223-251. https://doi.

org/10.1007/s10648

-

018

-

9453

-

7

  

 

Lay, C. H. (1986). At Last, My Research Article on Procrastination. Journal of Research in Personality, 20, 474. https://doi.org/10.1016/0092

-

6566(86)90127

-

3

  

 

Lay, C. H., & Schouwenburg, H. C. (1993). Trait Procrastination, Time Management. Journal of Social Behavior and Personality, 8(4), 647-662.  

 

Lederer, A. M., Hoban, M. T., Lipson, S. K., Zhou, S. S., & Eisenberg, D. (2021, Feb). More Than Inconvenienced: The Unique Needs of US College Students During the COVID-19 Pandemic. Health Education & Behavior, 48(1), 14-19. https://doi.org/10.1177/1090198120969372

  

 

Lee, D., Watson, S. L., & Watson, W. R. (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35(1), 28-41. https://doi.org/10.14742/ajet.3749

  

 

Lee, D., Watson, S. L., & Watson, W. R. (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35(1).  

 

Lee, D. K. (2016). Alternatives to P value: confidence interval and effect size. Korean journal of anesthesiology, 69(6), 555. https://doi.org/10.4097/kjae.2016.69.6.555

  

 

Lee, Y. M., Song, J. E., Park, C., & Son, Y. J. (2019, Sep). Psychometric Evaluation of the Korean Version of Patient-Centered Care Scale for Hospital Nurses. Eval Health Prof, 42(3), 344-365. https://doi.org/10.1177/0163278718805244

  

 

León, J., Núñez, J. L., & Liew, J. (2015). Self-determination and STEM education: Effects of autonomy, motivation, and self-regulated learning on high school math achievement. Learning and Individual Differences, 43, 156-163. https://doi.org/10.1016/j.lindif.

2015.08.017

  

 

Li, S., Chen, G., Xing, W., Zheng, J., & Xie, C. (2020). Longitudinal clustering of students’ self-regulated learning behaviors in engineering design. Computers & Education, 153, 103899.  

 

Li, S., & Zheng, J. (2018, Dec). The Relationship Between Self-efficacy and Self-regulated Learning in One-to-One Computing Environment: The Mediated Role of Task Values. Asia-Pacific Education Researcher, 27(6), 455-463. https://doi.org/10.1007/s40299

-

018

-

0405

-

2

  

 

Lichtinger, E., & Kaplan, A. (2011). Purpose of engagement in academic self-regulation. New Directions for Teaching and Learning, 2011(126), 9-19. https://doi.org/10.1002/tl.440

  

 

Liew, J., Xiang, P., Johnson, A. Y., & Kwok, O.-M. (2011). Effortful persistence and body mass as predictors of running achievement in children and youth  A longitudinal study. Journal of Physical Activity and Health, 8(2), 234-243. https://doi.org/10.1123/jpah.8.2.234

  

 

Limone, P., Sinatra, M., Ceglie, F., & Monacis, L. (2020, Dec). Examining Procrastination among University Students through the Lens of the Self-Regulated Learning Model. Behavioral Sciences, 10(12), Article 184. https://doi.org/10.3390/bs10120184

  

 

Liru, J., Yafei, Z., Jian, N., Jingliang, W., & Guixiang, T. (2018). Achievement motivation and the effect of time management on procrastination behavior in college students. Chinese Journal of Health Psychology, 26(11), 4.  

 

Liu, J. L., Xiang, P., McBride, R. E., & Chen, H. (2020, May). Self-regulated learning strategies and achievement goals among preservice physical education teachers. European Physical Education Review, 26(2), 375-391. https://doi.org/10.1177/1356336x19859602

  

 

Ljubin-Golub, T., Petricevic, E., & Rovan, D. (2019, Apr). The role of personality in motivational regulation and academic procrastination. Educational Psychology, 39(4), 550-568. https://doi.org/10.1080/01443410.2018

.1537479

  

 

Loeffler, S. N., Bohner, A., Stumpp, J., Limberger, M. F., & Gidion, G. (2019, Apr). Investigating and fostering self-regulated learning in higher education using interactive ambulatory assessment. Learning and Individual Differences, 71, 43-57. https://doi.org/10.1016/j.lindif.2019.03.006

  

 

Loeffler, S. N., Stumpp, J., Grund, S., Limberger, M. F., & Ebner-Priemer, U. W. (2019, Oct). Fostering self-regulation to overcome academic procrastination using 

interactive ambulatory assessment. Learning and Individual Differences, 75. https://doi.org

/10.1016/j.lindif.2019.101760

  

 

Luszczynska, A., Gutiérrez-Doa, B., & Schwarzer, R. (2005). General self-efficacy in various domains of human functioning: Evidence from five countries. International Journal of Psychology, 40(2), 80-89. https://doi.org/10.1080/00207590444000041

  

 

Lynch, D. J. (2006). Motivational factors, learning strategies and resource management as predictors of course grades. College Student Journal, 40(2), 423-429.  

 

Lynch, D. J. (2010). MOTIVATIONAL BELIEFS AND LEARNING STRATEGIES AS PREDICTORS OF ACADEMIC PERFORMANCE IN COLLEGE PHYSICS. College Student Journal, 44(4).  

 

M.Byrne, B. (2010). Structural Equation Modeling With AMOS:Basic Concepts, Applications, and Programming,2nd Edition (Multivariate applications book series)  

 

Ma Cc Allum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: the problem of capitalization on chance. Psychological bulletin, 111(3), 490-504.  

 

Macan, T. H., Shahani, C., Dipboye, R. L., & Phillips, A. P. (1990). College students' time management: Correlations with academic performance and stress. Journal of Educational Psychology, 82(4), 760.  

 

MacCann, C., Jiang, Y. X., Brown, L. E. R., Double, K. S., Bucich, M., & Minbashian, A. (2020, Feb). Emotional Intelligence Predicts Academic Performance: A Meta-Analysis. Psychological bulletin, 146(2), 150-186. https://doi.org/10.1037/bul0000219

  

 

MacKinnon, D. P. (2008a). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum Associates, Inc. https://doi.org/10.4324/9780203809556

  

 

MacKinnon, D. P. (2008b). Introduction to statistical mediation analysis. Routledge. 

 

MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. https://doi.org/10.4324/9780203809556

  

 

MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological methods, 7(1), 83-104. https://doi.org/10.1037//1082

-

989x.7.1.83

  

 

Mackinnon, D. P., Lockwood, C. M., & Williams, J. (2004, Jan 1). Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods. Multivariate Behav Res, 39(1), 99-128. https://doi.org/10.1207/s15327906mbr3901_4

  

Madalinska-Michalak, J., & Bavli, B. (2018). Challenges in teaching English as a foreign language at schools in Poland and Turkey. European Journal of Teacher Education, 41(5), 688-706. https://doi.org/10.1080/02619768.2018.1531125

  

 

Maldonado-Mahauad, J., Perez-Sanagustin, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018, Mar). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196. https://doi.org/10.1016/j.chb.2017.11.011

  

 

Maldonado-Mahauad, J., Pérez-Sanagustín, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196.  

 

Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57(3), 519-530.  

 

Marra, R. M., Hacker, D. J., & Plumb, C. (2022, Jan). Metacognition and the development of self-directed learning in a problem-based engineering curriculum. Journal of Engineering Education, 111(1), 137-161. https://doi.org/10.1002/jee.

20437

  

 

Marsh, H. W., John R. Balla, & Roderick, P. M. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological bulletin, 103, 391-410.  

 

Martin-Martin, A., Thelwall, M., Orduna-Malea, E., & Delgado Lopez-Cozar, E. (2020, Sep 21). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: a multidisciplinary comparison of coverage via citations. Scientometrics, 1-36. https://doi.org/10.1007/s11192

-

020

-

03690

-

4

  

 

Marton, F., & Säljö, R. (1976). On qualitative differences in learning: I—Outcome and process. British Journal of Educational Psychology, 46(1), 4-11.  

 

Matcha, W., Uzir, N. A., Gasevic, D., & Pardo, A. (2020, Apr-Jun). A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective. Ieee Transactions on Learning Technologies, 13(2), 226-245. https://doi.org/10.1109/tlt.2019.2916802

  

 

Mattern, K. D., & Shaw, E. J. (2010). A look beyond cognitive predictors of academic success: Understanding the relationship between academic self-beliefs and outcomes. Journal of College Student Development, 51(6), 665-678.  

 

McClelland, M. M., & Cameron, C. E. (2018). Developing together: The role of executive function and motor skills in children's early academic lives. Early Childhood Research Quarterly, 46, 142-151. https://doi.org/10.1016/j.ecresq.2018.03.014

  

 

McNeely, C. A., Nonnemaker, J. M., & Blum, R. W. (2002). Promoting School Connectedness Evidence from the National Longitudinal Study of Adolescent Health. Journal of American Medical Association, 72, 138-146. https://doi.org/10.1111/j.1746

-

1561.2002.tb06533.x

  

 

Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology, 106(1), 121.  

 

Migueis, V. L., Freitas, A., Garcia, P. J. V., & Silva, A. (2018, Nov). Early segmentation of students according to their academic performance: A predictive modelling approach. Decision Support Systems, 115, 36-51. https://doi.org/10.1016/j.dss.2018.09.001

  

 

Milgram, N., Mey-Tal, G., & Levison, Y. (1998, Aug). Procrastination, generalized or specific, in college students and their parents. Personality and Individual Differences, 25(2), 297-316. https://doi.org/10.1016/s0191

-

8869(98)00044

-

0

  

 

Minnaert, A., & Janssen, P. J. (1997). Bias in the assessment of regulation activities in studying at the level of higher education. European Journal of Psychological Assessment, 13(2), 99-108. http://dx.doi.org

/10.1027/1015

-

5759.13.2.99

  

 

Mishra, S. (2020a, Feb). Social networks, social capital, social support and academic success in higher education: A systematic review with a special focus on 'underrepresented' students [Review]. Educational Research Review, 29, 24, Article 100307. https://doi.org/10.1016/j.edurev.2019.100307

  

 

Mishra, S. (2020b, Feb). Social networks, social capital, social support and academic success in higher education: A systematic review with a special focus on 'underrepresented' students. Educational Research Review, 29, Article 100307. https://doi.org/10.1016/j.edurev.2019.100307

  

 

Mohammadi Bytamar, J., Saed, O., & Khakpoor, S. (2020). Emotion Regulation Difficulties and Academic Procrastination. Front Psychol, 11, 524588. https://doi.org/10.3389/fpsyg.2020.524588

  

 

Mohammed, M. H. (2018). Challenges of learning English as a foreign language (efl) by non-native learners. International Journal of Social Science and Economic Research, 03(04).  

 

Muis, K. R. (2007). The role of epistemic beliefs in self-regulated learning. Educational psychologist, 42(3), 173-190. https://doi

.org/10.1080/00461520701416306  

 

Murfield, J., Moyle, W., O'Donovan, A., & Ware, R. S. (2021, Apr). Validity of the Compassionate Engagement and Action Scales with family carers of older adults: confirmatory factor analyses. Int Psychogeriatr, 33(4), 373-383. https://doi.org

/10.1017/S1041610220001738

  

 

Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(1), 171-189.  

 

Nearchou, F. A., Stogiannidou, A., & Kiosseoglou, G. (2014). Adaptation and psychometric evaluation of a resilience measure in Greek elementary school students. Psychology in the Schools, 51(1), 58-71. https://doi.org/10.1002/pits

.21732

 

 

Newsom. (2012). Some Clarifications and Recommendations on Fit Indices.  

 

Nodoushan, M. A. S. (2012). Self-regulated learning (SRL): Emergence of the RSRLM model. Online submission, 6(3), 1-16.  

 

Nu’man, M., Retnawati, H., Sugiman, S., & Jailani, J. (2021). Measuring Self-Regulated Learning in the STEM Framework: A Confirmatory Factor Analysis. European Journal of Educational Research, 10(4), 2067-2077. https://doi.org/10.12973/eu

-

jer.10.4.2067

  

 

O'Brien, W. K. (2002). Applying the transtheoretical model to academic procrastination, ProQuest Information & Learning.  

 

O’Malley,J.M, & Chamot, A. U. (1990). Learning Strategies in Second Language Acquisition. 114-150. https://doi.org/10.1017/CBO9781139524490.007

  

 

Ohtani, K., & Hisasaka, T. (2018, Aug). Beyond intelligence: a meta-analytic review of the relationship among metacognition, intelligence, and academic performance. Metacognition and Learning, 13(2), 179-212. https://doi.org/10.1007/s11409

-

018

-

9183

-

8

  

 

Ojeda, L., Castillo, L. G., Rosales Meza, R., & Piña-Watson, B. (2014). Mexican Americans in Higher Education:Cultural Adaptation and Marginalization as Predictors of College Persistence Intentions and Life Satisfaction. Journal of Hispanic Higher Education, 13(1), 3-14. https:/

/doi.org/10.1177/1538192713498899

  

 

OKUN, M. A., BRAVER, M. W., & WEIR, A. R. M. (1990). Grade level differences in school satisfactionfe satisfaction. Social Indicators Research, 22, 419–427.  

 

Onoda, S. (2011). Examining the relationships between self-efficacy, effort regulation strategy use, and English vocabulary skills. Reading. Retrieved from: https://sisaljournal

. org/archives/dec14/onoda.  

 

Onoda, S. (2012). Self-regulation and its relation to motivation and proficiency. Dissertations & Theses - Gradworks.  

 

Oxford, R., & Crookall, D. (1989). Research on language learning strategies: Methods, findings, and instructional issues. The modern language Journal, 73(4), 404-419.  

Ozer, B. U., Demir, A., & Ferrari, J. R. (2013, Sep). Reducing Academic Procrastination Through a Group Treatment Program: A Pilot Study. Journal of Rational-Emotive and Cognitive-Behavior Therapy, 31(3), 127-135. https://doi.org/10.1007/s10942

-

013

-

0165

-

0

  

 

Özkan Çikrikçi, & Evren Erzen. (2020, Jun). Academic Procrastination, School Attachment, and Life Satisfaction: A Mediation Model. Journal of Rational-Emotive and Cognitive-Behavior Therapy, 38(2), 225-242. https://doi.org/10.1007/s10942

-

020

-

00336

-

5

  

 

P.M., B. (1990). Comparative fit indexes in structural models. Psychological bulletin, 107(2), 238. https://doi.org/10.1037/0033

-

2909.107.2.238

  

 

Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543-578. https://doi.org/10.3102/00346543066004543

  

 

Palos, R., Magurean, S., & Petrovici, M. C. (2019, Dec). Self-Regulated Learning and Academic Performance - The Mediating Role of Students' Achievement Goals. Revista De Cercetare Si Interventie Sociala, 67, 234-249. https://doi.org/10.33788/rcis.67.15

  

 

Panadero, E. (2017, Apr). A Review of Self-regulated Learning: Six Models and Four Directions for Research. Frontiers in Psychology, 8, Article 422. https://doi.org/10.3389/fpsyg.2017.00422

  

 

Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422.  

 

Panadero, E., Andrade, H., & Brookhart, S. (2018, Mar). Fusing self-regulated learning and formative assessment: a roadmap of where we are, how we got here, and where we are going. Australian Educational Researcher, 45(1), 13-31. https://doi.org/10.1007/s13384

-

018

-

0258

-

y

  

 

Paris, S. G., & Paris, A. H. (2001). Classroom applications of research on self-regulated learning. Educational psychologist, 36(2), 89-101.  

 

Park, S. W., & Sperling, R. A. (2012). Academic procrastinators and their self-regulation. Psychology, 3(01), 12.  

 

Park, Y., & Jo, I.-H. (2015). Development of the learning analytics dashboard to support students’ learning performance. Journal of Universal Computer Science, 21(1), 110.  

 

Patrzek, J., Sattler, S., van Veen, F., Grunschel, C., & Fries, S. (2015). Investigating the effect of academic procrastination on the frequency and variety of academic misconduct: a panel study. Studies in Higher Education, 40(6), 1014-1029. http://dx.doi.org/10.1080/03075079.2013.854765

  

 

Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students' self-regulated learning and achievement: A program of qualitative and quantitative research. Educational psychologist, 37(2), 91-105.  

 

Phakiti, A., Hirsh, D., & Woodrow, L. (2013). It’s not only English: Effects of other individual factors on English language learning and academic learning of ESL international students in Australia. Journal of Research in International Education, 12(3), 239-258.  

 

Phillips, A. J. K., Clerx, W. M., O'Brien, C. S., Sano, A., Barger, L. K., Picard, R. W., Lockley, S. W., Klerman, E. B., & Czeisler, C. A. (2017, Jun). Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Scientific Reports, 7, Article 3216. https://doi.org/10.1038/s41598

-

017

-

03171

-

4

  

 

Pilcher, J. J. (2016, Nov-Dec). Delaying School for Sleep response. American Scientist, 104(6), 324-324.  

 

Pintrich, P. R. (1991a). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). College Students, 48109(76).  

 

Pintrich, P. R. (1991b). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ).  

 

Pintrich, P. R. (1999). Pintrich, P. R. (1999)The role of motivation in promoting and sustaining self-regulated learning.  

 

Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459-470.  

 

Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In Handbook of self-regulation (pp. 451-502). Elsevier.  

 

Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667.  

 

Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385-407.  

 

Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33.  

 

Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801-813.  

 

Pintrich, P. R., & Zusho, A. (2002). Student motivation and self-regulated learning in the college classroom. In Higher education: Handbook of theory and research (pp. 55-128). Springer.  

 

Pinxten, M., De Laet, T., Van Soom, C., Peeters, C., & Langie, G. (2019, Jul). Purposeful delay and academic achievement. A critical review of the Active Procrastination Scale. Learning and Individual Differences, 73, 42-51. https://doi.org/10.1016/j.lindif.2019.04.010

  

 

Porsch, R., & Köller, O. (2010). Standardbasiertes Testen von Schreibkompetenzen im Fach Englisch. Schulische Lerngelegenheiten und Kompetenzentwicklung, 85-103.  

 

Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36(4), 717-731. https://doi.org/10.3758/bf03206553  

 

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.http://dx.doi.org/10.3758/BRM.40.3.879  

 

Purdie, N., Hattie, J., & Douglas, G. (1996). Student conceptions of learning and their use of self-regulated learning strategies: A cross-cultural comparison. Journal of Educational Psychology, 88(1), 87.  

 

Pychyl, T. A., Lee, J. M., Thibodeau, R., & Blunt, A. (2000). Five days of emotion: An experience sampling study of undergraduate student procrastination. Journal of Social Behavior and Personality, 15(5), 239.  

 

 

Qingshuang, H., Yubin, L., Yonggong, R., Yumin, Z., & Yueyue, H. (2019). Research on the Effect of achievement goal orientation on online learning engagement of College students: The mediating role of academic procrastination Modern Distance Education, 185(5), 77-85.  

 

Rahimi, S., Hall, N. C., & Pychyl, T. A. (2016a). Attributions of Responsibility and Blame for Procrastination Behavior. Front Psychol, 7, 1179. https://doi.org/10.3389/fpsyg.2016.01179

  

 

Rahimi, S., Hall, N. C., & Pychyl, T. A. (2016b, Aug). Attributions of Responsibility and Blame for Procrastination Behavior. Frontiers in Psychology, 7, Article 1179. https://doi.org/10.3389/fpsyg.2016.01179

  

 

Rakes, G. C., & Dunn, K. E. (2010). The Impact of Online Graduate Students' Motivation and Self-Regulation on Academic Procrastination. Journal of interactive online learning, 9(1).  

 

Rakes, G. C., & Dunn, K. E. (2010). The impact of online graduate students’ motivation and self-regulation on academic procrastination. Journal of Interactive Online Learning, 9(1).  

 

Reasinger, R., & Brownlow, S. (2000). Putting off until tomorrow what is better done today: Academic procrastination as a function of motivation toward college work. Journal of Social Behavior and Personality, 15(5), 15.  

 

Rebetez, M. M. L., Rochat, L., Barsics, C., & Van der Linden, M. (2016). Procrastination as a self-regulation failure: The role of inhibition, negative affect, and gender. Personality and Individual Differences, 101, 435-439. https://doi.org/10.1016/j.paid.2016.06.049

  

 

Rebetez, M. M. L., Rochat, L., & Van der Linden, M. (2015). Cognitive, emotional, and motivational factors related to procrastination: A cluster analytic approach. Personality and Individual Differences, 76, 1-6.  

 

Reyes, M. R., Brackett, M. A., Rivers, S. E., White, M., & Salovey, P. (2012, Aug). Classroom Emotional Climate, Student Engagement, and Academic Achievement. Journal of Educational Psychology, 104(3), 700-712. https://doi.org/10.1037/a0027268

  

 

Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: a systematic review and meta-analysis. Psychological bulletin, 138(2), 353.  

 

Roick, J., & Ringeisen, T. (2018, Jul). Students' math performance in higher education: Examining the role of self-regulated learning and self-efficacy. Learning and Individual Differences, 65, 148-158. https://doi.org/10.1016/j.lindif.2018.05.018

  

 

Rong, K., Yumeng, L., Zhengfu, S., & Xiumu, y. (2021). The effect of time management disposition on academic procrastination among medical students: the mediating role of self-compassion. Journal of Bengbu Medical College, 46(6), 4.  

 

Rotgans, J., & Schmidt, H. (2009). Examination of the context-specific nature of self-regulated learning. Educational Studies, 35(3), 239-253. https://doi.org/10.1080/03055690802648051

  

 

Rovers, S. F. E., Clarebout, G., Savelberg, H., de Bruin, A. B. H., & van Merrienboer, J. J. G. (2019, Apr). Granularity matters: comparing different ways of measuring self-regulated learning. Metacognition and Learning, 14(1), 1-19. https://doi.org/10.1007/s11409

-

019

-

09188

-

6

  

 

Ruffing, S., Wach, F., Spinath, F. M., Brünken, R., & Karbach, J. (2015). Learning strategies and general cognitive ability as predictors of gender-specific academic achievement. Frontiers in Psychology, 6, 1238. https://doi.org/10.3389

/fpsyg.2015.01238

  

 

Ruiz-Alfonso, Z., León, J., Santana-Vega, L. E., & González, C. (2020). Teaching Quality: Relationships between Students’ Motivation, Effort Regulation, Future Interest, and Connection Frequency. Psicología Educativa, 27(1), 67-76. https://doi.org/10.5093/psed2020a18

  

 

Rutherford, T., Buschkuehl, M., Jaeggi, S. M., & Farkas, G. (2018, Nov-Dec). Links between achievement, executive functions, and self-regulated learning. Applied Cognitive Psychology, 32(6), 763-774. https://doi.org/10.1002/acp.3462

  

 

SAHINBAS, G. M., ERYILMAZ, A., & SAPSAGLAM, Ö. (2020). An Investigation of the Relationship between School Satisfaction during the Time Orientation Classroom Disengagement and Perceived Control. Ulakbilge Dergisi, 8(44). https://

doi.org/10.7816/ulakbilge

-

08

-

44

-

02

  

 

Saito, K., Dewaele, J. M., Abe, M., & In'nami, Y. (2018, Sep). Motivation, Emotion, Learning Experience, and Second Language Comprehensibility Development in Classroom Settings: A Cross-Sectional and Longitudinal Study. Language Learning, 68(3), 709-743. https://doi.org/10.1111/lang.12297

  

 

Sakiz, G. (2014). Oz-duzenleme-ogrenmeden ogretime oz-duzenleme davranislarinin gelisimi, stratejiler ve oneriler [Self-regulation-from learning to teaching the development of self-regulation behavior, strategies and suggestions]. Ankara: Nobel Publishing.  

 

Salvia, J., & Ysseldyke, J. (2001). Assessment (8th Ed.). New York: Houghton Mifflin  Company.  

 

Samson, A. O. (2020). Academic self-efficacy, gender and academic procrastination. Journal of Transdisciplinary Studies. https://doi.org/10.21533/epiphany.v13i1.324

  

 

Sarid, M., Peled, Y., & Vaknin-Nusbaum, V. (2021). The relationship between second language college students’ perceptions of online feedback on draft-writing and academic procrastination. Reading and Writing, 1-25.  

 

Schmitz, B., & Wiese, B. S. (2006). New perspectives for the evaluation of training sessions in self-regulated learning: Time-series analyses of diary data. Contemporary Educational Psychology, 31(1), 64-96. https://doi.org/10.1016/j.cedpsych.2005.02.002

  

 

Schraw, G. (1998). Promoting general meta-cognitive awareness. Instructional Science, 26(1), 113-125. https://doi.org/10.1023/A:1003044231033  

 

Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1), 111-139.  

 

Schraw, G., & Dennison, R. S. (1994). Assessing meta-cognitive awareness. Contemporary Educational Psychology, 19(4), 460-475.  

Schraw, G., Wadkins, T., & Olafson, L. (2007a). Doing the things we do: A grounded theory of academic procrastination. Journal of Educational Psychology, 99(1), 12.  

 

Schraw, G., Wadkins, T., & Olafson, L. (2007b). Doing the things we do: A grounded theory of academic procrastination. Journal of Educational Psychology, 99(1), 12-25. https://doi.org/10.1037/0022

-

0663.99.1.12

  

 

Schumacher, C., & Ifenthaler, D. (2021, Apr). Investigating prompts for supporting students' self-regulation - A remaining challenge for learning analytics approaches*. Internet and Higher Education, 49, Article 100791. https://doi.org/10.1016/j.iheduc.2020.100791

  

 

Schunk, D., & Zimmerman, B. (2008). Motivation: An essential dimension of self-regulated learning. Motivation and self-regulated learning: Theory, research, and applications, 1-30.  

 

Schunk, D. H., & DiBenedetto, M. K. (2020, Jan). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, Article 101832. http

s://doi.org/10.1016/j.cedpsych.2019.101832

  

 

Schunk, D. H., & Ertmer, P. A. (2000). Self-regulation and academic learning: Self-efficacy enhancing interventions. In Handbook of self-regulation (pp. 631-649). Elsevier.  

 

Schunk, D. H., Pintrich, P. R., & Meece, J. L. (1995). Motivation in education: Theory, research, and applications. Population decline and ageing in Japan:.  

 

Schunk, D. H., & Zimmerman, B. J. (1998). Self-regulated learning: From teaching to self-reflective practice. Guilford Press.  

 

Schunk, D. H., & Zimmerman, B. J. (2012). Motivation and self-regulated learning: Theory, research, and applications. Routledge.  

 

Schwinger, M., Steinmayr, R., & Spinath, B. (2009). How do motivational regulation strategies affect achievement: Mediated by effort management and moderated by intelligence. Learning and Individual Differences, 19(4), 621-627. https://doi.org/10.1016/j.lindif.2009.08.006

  

 

Schwinger, M., & Stiensmeier-Pelster, J. (2012). Effects of motivational regulation on effort and achievement: A mediation model. International Journal of Educational Research, 56, 35-47. https://doi.org/10.1016/j.i

jer.2012.07.005

  

 

Sen, S. (2016). Modeling the structural relations among learning strategies, self-efficacy beliefs, and effort regulation. Problems of Education in the 21st Century, 71, 62.  

 

Sen, S., & Yilmaz, A. (2016). Devising a Structural Equation Model of Relationships between Preservice Teachers' Time and Study Environment Management, 

Effort Regulation, Self-Efficacy, Control of Learning Beliefs, and meta-cognitive Self-Regulation. Science Education International, 27(2), 301-316.  

 

Senécal, C., Koestner, R., & Vallerand, R. J. (1995, Oct). SELF-REGULATION AND ACADEMIC PROCRASTINATION. Journal of Social Psychology, 135(5), 607-619. https://doi.org/10.1080/00224545.1995.9712234

  

 

Senko, C., & Harackiewicz, J. M. (2005). Regulation of achievement goals: the role of competence feedback. Journal of Educational Psychology, 97(3), 320. https://doi.org/10.1037/0022

-

0663.97.3.320

  

 

Setiyadi, A. B. (2020). Teaching English as a Foreign Seccond edition-final  

 

Seufert, T. (2018, Jun). The interplay between self-regulation in learning and cognitive load. Educational Research Review, 24, 116-129. https://doi.org/10.1016/j.edurev.2018.03.004

  

 

Shelton, C. R., Addison, W. E., & Hartung, C. M. (2019, Dec). ADHD and SCT Symptomatology in Relation to College Students' Use of Self-Regulated Learning Strategies. Journal of Attention Disorders, 23(14), 1719-1728. https://doi.org/10.1177/1087054717691134

  

 

Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological methods, 7(4), 422-445. https://doi.org/10.1037//1082

-

989x.7.4.422

  

 

Shyr, W. J., & Chen, C. H. (2018, Feb). Designing a technology-enhanced flipped learning system to facilitate students' self-regulation and performance. Journal of Computer Assisted Learning, 34(1), 53-62. https://doi.org/10.1111/jcal.12213

  

 

Silver, J. K., Poorman, J. A., Reilly, J. M., Spector, N. D., Goldstein, R., & Zafonte, R. D. (2018, Jul). Assessment of Women Physicians Among Authors of Perspective-Type Articles Published in High-Impact Pediatric Journals. Jama Network Open, 1(3), Article e180802. https://doi.org/10.1001/jamanetworkopen.2018.0802

  

 

Sims, C. M. (2014). Self-regulation coaching to alleviate student procrastination: Addressing the likeability of studying behaviours. International Coaching Psychology Review, 9(2), 147-164.  

 

Singer, B. D., & Bashir, A. S. (1999). What are executive functions and self-regulation and what do they have to do with language-learning disorders? Language, speech, and hearing services in schools, 30(3), 265-273.  

 

Sitzmann, T., & Ely, K. (2011). A meta-analysis of self-regulated learning in work-related training and educational attainment: what we know and where we need to go. Psychological bulletin, 137(3), 421-442.  

 

Sobel, M. E. (1982). Aysmptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312. https://doi.org/10.2307/270723

  

 

Sobel, M. E. (1986). Some new results on indirect effects and their standard errors in covariance structure models. Sociological Methodology, 16, 159-186. https://doi.org/10.2307/270922

  

 

Solomon, L. J., & Rothblum, E. D. (1984). Academic Procrastination:  Frequency and Cognitive-Behavioral Corelates. Journal of Counseling Psychology, 31(4), 503-509. https://doi.org/10.1037/0022

-

0167.31.4.503

  

 

Solomon, L. J., & Rothblum, E. D. (1984). Academic procrastination: Frequency and cognitive-behavioral correlates. Journal of counseling psychology, 31(4), 503.  

 

Stadtfeld, C., Voros, A., Elmer, T., Boda, Z., & Raabe, I. J. (2019, Jan). Integration in emerging social networks explains academic failure and success [Article]. Proceedings of the National Academy of Sciences of the United States of America, 116(3), 792-797. https://doi.org/10.1073/pnas.181138

8115

  

 

Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., & Sergent, K. (2018, Jan). Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: A meta-analytic path-analysis. Personality and Individual Differences, 120, 238-245. https://doi.org/10.1016/j.paid.2017.08.014

  

 

Steel, P. (2007, Jan). The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological bulletin, 133(1), 65. https://doi.org/10.1037/0

033

-

2909.133.1.65

  

 

Steel, P. (2007, Jan). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological bulletin, 133(1), 65-94. ht

tps://doi.org/10.1037/0033

-

2909.133.1.65

  

 

Steel, P. (2010). Arousal, avoidant and decisional procrastinators: Do they exist? Personality and Individual Differences, 48(8), 926-934.  

 

Steel, P., Brothen, T., & Wambach, C. (2001). Procrastination and personality, performance, and mood. Personality and Individual Differences, 30(1), 95-106.  

 

Steel, P., & Ferrari, J. (2013, Jan-Feb). Sex, Education and Procrastination: An Epidemiological Study of Procrastinators' Characteristics from a Global Sample. European Journal of Personality, 27(1), 51-58. https://doi.org/10.1002/per.1851

  

 

Steel, P., & Klingsieck, K. B. (2016, Feb). Academic Procrastination: Psychological Antecedents Revisited. Australian Psychologist, 51(1), 36-46. https://doi.org/10.1111/ap.12173

  

 

Steffens, K. (2006). Self-regulated learning in technology-enhanced learning environments: Lessons of a European peer review. European journal of education, 41(3-4), 353-379.  

 

Stöber, J., & Joormann, J. (2001). Worry, procrastination, and perfectionism: Differentiating amount of worry, pathological worry, anxiety, and depression. Cognitive Therapy and Research, 25(1), 49-60. http://dx.doi.org/10.1023/A:1026474715384  

 

Stone, C. A., & Sobel, M. E. (1990). The robustness of total indirect effects in covariance structure models estimated with maximum likelihood. PSYCHOMETRIK, 55(2), 337-352. https://doi.org/10.1007/bf02295291

  

 

Strunk, K. K., & Steele, M. R. (2011). Relative contributions of self-efficacy, self-regulation, and self-handicapping in predicting student procrastination. Psychological Reports, 109(3), 983-989. http://dx.doi.org/10.2466/07.09.20.PR0.109.6.983

-

989

  

 

Sukarelawan, M. I., Sulisworo, D., Jumadi, J., Kuswanto, H., & Rofiqah, S. A. (2021). Heat and temperature metacognition awareness inventory: A confirmatory factor analysis. International Journal of Evaluation and Research in Education (IJERE), 10(2). https://doi.org/10.11591/ijere.v10i2.20917

  

 

Suleman, Q., Hussain, I., Syed, M. A., Parveen, R., Lodhi, I. S., & Mahmood, Z. (2019, Jul). Association between emotional intelligence and academic success among undergraduates: A cross-sectional study in KUST, Pakistan. Plos One, 14(7), Article e0219468. https://doi.org/10.1371/journal.pone.0219468

  

 

Sumaya, I. C., & Darling, E. (2018). Procrastination, Flow, and Academic Performance in Real Time Using the Experience Sampling Method. Journal of Genetic Psychology, 179(3), 123-131. https://doi.org/10.1080/00221325.2018.1449097

  

 

Sun, T., & Wang, C. (2020, Jun). College students' writing self-efficacy and writing self-regulated learning strategies in learning English as a foreign language. System, 90, Article 102221. https://doi.org/10.1016/j.system.2020.102221

  

 

Sun, T., & Wang, C. (2020). College students’ writing self-efficacy and writing self-regulated learning strategies in learning English as a foreign language. System, 90. https://doi.org/10.1016/j.system.2020.102221

  

 

Sun, Z. R., Xie, K., & Anderman, L. H. (2018, Jan). The role of self-regulated learning in students' success in flipped undergraduate math courses. Internet and Higher Education, 36, 41-53. https://doi.org/10.1016/j.iheduc.2017.09.003

  

 

Sungur, S. (2007). Modeling the relationships among students' motivational beliefs, meta-cognitive strategy use, and effort regulation. Scandinavian journal of educational research, 51(3), 315-326. http://dx.doi.org/10.1080/00313830701356166

  

 

Sungur, S., & Kahraman, N. (2011). The contribution of motivational beliefs to students' meta-cognitive strategy use. Egitim ve Bilim, 36(160), 3.  

 

Svartdal, F., Dahl, T. I., Gamst-Klaussen, T., Koppenborg, M., & Klingsieck, K. B. (2020, Nov). How Study Environments Foster Academic Procrastination: Overview and Recommendations. Frontiers in Psychology, 11, Article 540910. https://doi.or

g/10.3389/fpsyg.2020.540910

  

 

Talsma, K., Schuz, B., Schwarzer, R., & Norris, K. (2018, Jan). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136-150. https://doi.org/10.1016/j.lindif.2017.11.015

  

 

Tan, C. X., Ang, R. P., Klassen, R. M., Yeo, L. S., Wong, I. Y., Huan, V. S., & Chong, W. H. (2008). Correlates of academic procrastination and students’ grade goals. Current Psychology, 27(2), 135-144.  

 

TAS, Y., SUNGUR, S., & OZTEKIN, C. (2016). DEVELOPMENT AND VALIDATION OF SCIENCE HOMEWORK  SCALE FOR MIDDLE-SCHOOL STUDENTS. International Journal of Science and Mathematics Education, 14.  

 

Taylor, A. B., MacKinnon, D. P., & Tein, J. Y. (2008). Tests of the Three-Path Mediated Effect. Organizational Research Methods, 11(2), 241-269. http://dx.doi.org/10.1177/1094428107300344  

 

Teng, L. S., Yuan, R. E., & Sun, P. P. (2020). A mixed-methods approach to investigating motivational regulation strategies and writing proficiency in English as a foreign language contexts. System, 88. https://doi.org/10.1016/j.system.2019.102

182

  

 

Teng, L. S., & Zhang, L. J. (2018, Aug). Effects of motivational regulation strategies on writing performance: a mediation model of self-regulated learning of writing in English as a second/foreign language. Metacognition and Learning, 13(2), 213-240. https://doi.org/10.1007/s11409

-

017

-

9171

-

4

  

 

Thompson, B. (2004). Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. American psychological Association.  

 

Tice, D. M., & Baumeister, R. F. (1997). Longitudinal study of procrastination, performance, stress, and health  the costs and benefits of dawdling. Psychological Science, 8(6), 454-458. ht

tps://doi.org/10.1111/J.1467

-

9280.1997.TB00460.X

  

 

Tice, D. M., & Baumeister, R. F. (1997). Longitudinal study of procrastination, performance, stress, and health: The costs and benefits of dawdling. Psychological Science, 8(6), 454-458.  

 

Toker, B., & Avci, R. (2015). Effect of Cognitive-Behavioral-Theory-based Skill Training on Academic Procrastination Behaviors of University Students. Educational Sciences: Theory & Practice, 15(5). https://doi.org

/10.12738/estp.2015.5.0077

  

 

Tomas, J. M., Gutierrez, M., Georgieva, S., & Hernandez, M. (2020, Feb). The effects of self-efficacy, hope, and engagement on the academic achievement of secondary education in the Dominican Republic. Psychology in the Schools, 57(2), 191-203. https://doi.org/10.1002/pits.22321

  

 

Trautner, M., & Schwinger, M. (2020, May). Integrating the concepts self-efficacy and motivation regulation: How do self-efficacy beliefs for motivation regulation influence self-regulatory success? Learning and Individual Differences, 80, Article 101890. https://doi.org/10.1016/j.lindif.2020.101890

  

 

Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.  

 

Tuckman, & B., W. (1991). The Development and Concurrent Validity of the Procrastination Scale. Educational & Psychological Measurement, 51(2), 473-480.  

 

Tuckman, B. W. (1991). The Development and Concurrent Validity of the Procrastination Scale. Educational and Psychological Measurement, 51(2), 473-480. https://doi.org/10.1177/0013164491512022

  

 

Tuckman, B. W. (2005). Relations of academic procrastination, rationalizations, and performance in a web course with deadlines. Psychological Reports, 96(3_suppl), 1015-1021. http://dx.doi.org/10.2466/pr0.96.3c.1015-1021  

 

Usher, E. L., Li, C. H. R., Butz, A. R., & Rojas, J. P. (2019, Jul). Perseverant Grit and Self-Efficacy: Are Both Essential for Children' Academic Success.Journal of Educational Psychology, 111(5), 877-902. https://doi.org/10.1037/edu0000

324

  

 

Usher, E. L., & Schunk, D. H. (2018). Social cognitive theoretical perspective of self-regulation. https://doi.org/10.4324/9781315697048

  

 

Üztemur, S. (2020). THE MEDIATING ROLE OF ACADEMIC PROCRASTINATION BEHAVIOURS IN THE RELATIONSHIP BETWEEN PRE-SERVICE SOCIAL STUDIES TEACHERS’SOCIAL MEDIA ADDICTION AND ACADEMIC SUCCESS. International Journal of Education Technology and Scientific Researches, 5(11), 63-101.  

 

Uzun Ozer, B., O'Callaghan, J., Bokszczanin, A., Ederer, E., & Essau, C. (2014). Dynamic interplay of depression, perfectionism and self-regulation on procrastination. British Journal of Guidance & Counselling, 42(3), 309-319. http

s://doi.org/10.1080/03069885.2014.896454

  

 

Valenzuela, R., Codina, N., Castillo, I., & Pestana, J. V. (2020, Mar). Young University Students' Academic Self-Regulation Profiles and Their Associated Procrastination: Autonomous Functioning Requires Self-Regulated Operations. Frontiers in Psychology, 11, Article 354. https://doi.org/10.3389/fpsyg.2020.00354

  

 

Valle, N., Antonenko, P., Dawson, K., & Huggins-Manley, A. C. (2021, Jul). Staying on target: A systematic literature review on learner-facing learning analytics dashboards. British Journal of Educational Technology, 52(4), 1724-1748. https://doi.org/10.1111/bjet.13089

  

 

van Eck, N. J., & Waltman, L. (2010, Aug). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192

-

009

-

0146

-

3

  

 

Van Eerde, W. (2000). Procrastination: Self-regulation in initiating aversive goals. Applied Psychology, 49(3), 372-389. http://dx.doi.org/10.1111/1464

-

0597.00021

  

 

Van Laer, S., & Elen, J. (2019). The effect of cues for calibration on learners' self-regulated learning through changes in learners’ learning behaviour and outcomes. Computers & Education, 135, 30-48.  

 

van Raan, A. F. J. (2005). For Your Citations Only? Hot Topics in Bibliometric Analysis. Measurement: Interdisciplinary Research & Perspective, 3(1), 50-62. https://doi.org/10.1207/s15366359mea0301_7

  

 

Vanderstoep, S. W., Pintrich, P. R., & Fagerlin, A. (1996). Disciplinary differences in self-regulated learning in college students. Contemporary Educational Psychology, 21(4), 345-362.  

 

Von Suchodoletz, A., Rahn, J., Nadyukova, I., Barza, L., & Achtziger, A. (2020, Apr). Can mindsets influence college students' motivation to learn? Findings from the United States and the United Arab Emirates. Higher Education, 79(4), 731-748. https://doi.org/10.1007/s10734

-

019

-

00434

-

z

  

 

Wang, C.-J., Tsai, H.-T., & Tsai, M.-T. (2014). Linking transformational leadership and employee creativity in the hospitality industry: The influences of creative role identity, creative self-efficacy, and job complexity. Tourism Management, 40, 79-89. https://doi.org/10.1016/j.tourman.2013.05.008

  

 

Wang, C., & Bai, B. (2017). Validating the instruments to measure ESL/EFL learners' self-efficacy beliefs and self-regulated learning strategies. Tesol Quarterly, 51(4), 931-947.  

 

Wang, C., Hu, J., Zhang, G., Chang, Y., & Xu, Y. (2012). Chinese College Students' Self Regulated Learning Strategies and Self-Efficacy Beliefs in Learning English as a Foreign Language. Journal of Research in Education, 22(2), 103-135.  

Wang, J., King, R. B., & Rao, N. (2019, Jul). The role of social-academic goals in Chinese students' self-regulated learning. European Journal of Psychology of Education, 34(3), 579-600. https://doi.org/10.1007/s10212

-

018

-

0404

-

y

  

 

Wang, M. T., Binning, K. R., Del Toro, J., Qin, X., & Zepeda, C. D. (2021, Jul). Skill, Thrill, and Will: The Role of Metacognition, Interest, and Self-Control in Predicting Student Engagement in Mathematics Learning Over Time. Child Development, 92(4), 1369-1387. https://doi.org/10.1111/cdev.13531

  

 

Wang, M. T., Smith, L. V., Miller-Cotto, D., & Huguley, J. P. (2020, May). Parental Ethnic-Racial Socialization and Children of Color's Academic Success: A Meta-Analytic Review. Child Development, 91(3), E528-E544. https://doi.org/10.1111/cdev.13254

  

 

Wang, Q., Mousavi, A., & Lu, C. A scoping review of empirical studies on theory-driven learning analytics. Distance Education. https://doi.org/10.1080/01587919.2021.2020621

  

 

Wäschle, K., Allgaier, A., Lachner, A., Fink, S., & Nückles, M. (2014). Procrastination and self-efficacy: Tracing vicious and virtuous circles in self-regulated learning. Learning and Instruction, 29, 103-114. http://dx.doi.org/10.1016/j.learninstruc.2013.0

9.005

  

 

Weinstein, C. E. (1986). The teaching of learning strategies. In. Handbook of research on teaching (3 rd ed.), 315-327.  

 

Weinstein, C. E., & Mayer, R. E. (1983). The teaching of learning strategies. Innovation abstracts,  

 

Wernecke, H., Sandor, B., & Gros, C. (2019, Sep). Chaos in time delay systems, an educational review. Physics Reports-Review Section of Physics Letters, 824, 1-40. https://doi.org/10.1016/j.physrep.2019.08.001

  

 

West, C., & Sadoski, M. (2011). Do study strategies predict academic performance in medical school? Medical Education, 45(7), 696-703. https://doi.org/10.1111/j.1365

-

2923.2011.03929.x

  

 

West, S. G., Finch, J. F., & Curran, P. J. (1995a). Structural Equation Models with Non-Normal Variables: Problems and Remedies. Structural Equation Modeling: Concepts, Issues and Applications,edited by Rick H. Hoyle. Sage Publications, Thousand Oaks, California, 56-75.  

 

West, S. G., Finch, J. F., & Curran, P. J. (1995b). Structural Equation Models with Non-Normal Variables: Problems and Remedies. R.H.Hoyle(Ed.) Structural equation modeling: Concepts issues and applications, 56-75.  

 

Widowati, E., Istiono, W., & Husodo, A. H. (2021). The development of Disaster Preparedness and Safety School model: A Confirmatory Factor Analysis. 

International Journal of Disaster Risk Reduction, 53. https://doi.org/10.1016/j.ijdrr.2020.102004

  

 

Wild, K.-P., & Schiefele, U. (1994). Lernstrategien im Studium: ergebnisse zur Faktorenstruktur und Reliabilität eines neuen Fragebogens. Zeitschrift für differentielle und diagnostische Psychologie.  

 

Williams, J., & Mackinnon, D. P. (2008). Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 23-51. https://doi.org/10.1080/10705510701758166

  

 

Winne, P., & Hadwin, A. (1998). Studying as self-regulated learning. Metacognition in educational theory and practice 279–306. https://doi.org/10.4324/9781410602350

-

19

  

 

Winne, P. H. (1997). Experimenting to bootstrap self-regulated learning. Journal of Educational Psychology, 89(3), 397. http://doi.org/10.1037/0022

-

0663.89.3.397

  

 

Winne, P. H. (2006). How software technologies can improve research on learning and bolster school reform. Educational psychologist, 41(1), 5-17.  

 

Winne, P. H. (2018, Mar). Theorizing and researching levels of processing in self-regulated learning. British Journal of Educational Psychology, 88(1), 9-20. https://doi.org/10.1111/bjep.12173

  

 

Winne, P. H. (2018). Theorizing and researching levels of processing in self-regulated learning. British Journal of Educational Psychology, 88(1), 9-20.  

 

Winne, P. H. (2019). Paradigmatic dimensions of instrumentation and analytic methods in research on self-regulated learning. Computers in Human Behavior, 96, 285-289.  

 

Winne, P. H., & Stockley, D. B. (1998). Computing technologies as sites for developing self-regulated learning.  

 

Winterer, E. R., Froyd, J. E., Borrego, M., Martin, J. P., & Foster, M. (2020, Jul). Factors influencing the academic success of Latinx students matriculating at 2-year and transferring to 4-year US institutions-implications for STEM majors: a systematic review of the literature. International Journal of Stem Education, 7(1), Article 34. https://doi.org/10.1186/s40594

-

020

-

00215

-

6

  

 

Wirth, J., Stebner, F., Trypke, M., Schuster, C., & Leutner, D. (2020). An interactive layers model of self-regulated learning and cognitive load. Educational Psychology Review, 1-23.  

 

Wolters, C. A. (1998). Self-regulated learning and college students' regulation of motivation. Journal of Educational Psychology, 90(2), 224. https://doi.org/10.1037/0022

-

0663.90.2.224

  

 

Wolters, C. A. (1999). The relation between high school students' motivational regulation and their use of learning strategies, effort, and classroom performance. Learning and Individual Differences, 11(3), 281-299. https://doi.org/10.1016/S1041

-

6080(99)80004

-

1

  

 

Wolters, C. A. (2003). Regulation of motivation: Evaluating an underemphasized aspect of self-regulated learning. Educational psychologist, 38(4), 189-205. https://doi.org/10.1207/S15326985EP3804_1

  

 

Wolters, C. A. (2003). Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology, 95(1), 179-187. https://doi.org/10.1037/0022

-

0663.95.1.179

  

 

Wolters, C. A., Pintrich, P. R., & Karabenick, S. A. (2005). Assessing academic self-regulated learning. In What do children need to flourish? (pp. 251-270). Springer.  

 

Wolters, C. A., Won, S., & Hussain, M. (2017, Dec). Examining the relations of time management and procrastination within a model of self-regulated learning. Metacognition and Learning, 12(3), 381-399. https://doi.org/10.1007/s11409

-

017

-

9174

-

1

  

 

Wong, J., Baars, M., Davis, D., Van der Zee, T., Houben, G. J., & Paas, F. (2019, Mar). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human-Computer Interaction, 35(4-5), 356-373. https://doi.org/10.1080/10447318.2018.1543084

  

 

Wu, F., & Fan, W. H. (2017). Academic procrastination in linking motivation and achievement-related behaviours: a perspective of expectancy-value theory. Educational Psychology, 37(6), 695-711. https://doi.org/10.1080/01443410.2016.120290

1

  

 

Wu, L. L., Fischer, C., Rodriguez, F., Washington, G. N., & Warschauer, M. (2021). Project-based engineering learning in college: associations with self-efficacy, effort regulation, interest, skills, and performance. SN Social Sciences, 1(12), 1-20.  

 

Wu, T., & Chang, M. (2021, Jul 12-15). The Impact and Gender Difference of Learning Motivation and Self-Regulation on Academic Performance in Online Learning Environment.IEEE International Conference on Advanced Learning Technologies [Ieee 21st international conference on advanced learning technologies (icalt 2021)]. 21st IEEE International Conference on Advanced Learning Technologies (ICALT), Electr Network. 

 

iao, Y., & Yang, M. (2019). Formative assessment and self-regulated learning: How formative assessment supports students' self-regulation in English language learning. System, 81, 39-49. https://doi.org/10.1016/j.system.2019.01.004

  

 

Y.-F., Y., & P.M., B. (1996). Bootstrapping techniques in analysis of mean and covariance structures. Advanced Structural Equation modeling : Issues and Techniques, 195-226.  

 

Yaman-Sozbir, S., Ayaz-Alkaya, S., & Bayrak-Kahraman, B. (2019, Oct). Effect of chewing gum on stress, anxiety, depression, self-focused attention, and academic success: A randomized controlled study. Stress and Health, 35(4), 441-446. https://doi.org/10.1002/smi.2872

  

 

Yamao, S., & Sekiguchi, T. (2015). Employee commitment to corporate globalization: The role of English language proficiency and human resource practices. Journal of World Business, 50(1), 168-179. https://doi.org/10.1016/j.jwb.2014.03.001

  

 

Yang, H. H., & Farley, A. (2019). Quantifying the impact of language on the performance of international accounting students: A cognitive load theory perspective. English for Specific Purposes, 55, 12-24. https:/

/doi.org/10.1016/j.esp.2019.03.003

  

 

Yang, Y.-T. C. (2012). Cultivating critical thinkers: Exploring transfer of learning from pre-service teacher training to classroom practice. Teaching and Teacher Education, 28(8), 1116-1130. https://doi.org/10.1016/j.tate.2012.06.007

  

 

Yang, Z. (2020). An Empirical Analysis of the Relationship between Self-efficacy, Motivation, and Team Performance of High-level Basketball Players. Revista De Psicologia Del Deporte, 29(4), 221-231.  

 

Yip, M. C. W. (2019). The linkage among academic performance, learning strategies and self-efficacy of Japanese university students: a mixed-method approach. Studies in Higher Education. https://doi.org/10.1080/03075079.2019.1695111

  

 

York, T. T., Gibson, C., & Rankin, S. (2015). Defining and measuring academic success. Practical Assessment, Research, and Evaluation, 20(1), 5.  

 

York, T. T., Gibson, C., & Rankin, S. (2015). Defining and Measuring Academic Success. Practical Assessment, Research, and Evaluation, 20. https://doi.org/10.7275/hz5x

-

tx03

  

 

Young, M. R. (2005). The motivational effects of the classroom environment in facilitating self-regulated learning. Journal of Marketing Education, 27(1), 25-40. doi

: 10.1177/0273475304273346  

 

Yu, H., & Mocan, N. (2019, Dec). The Impact of High School Curriculum on Confidence, Academic Success, and Mental and Physical Well-Being of University Students. Journal of Labor Research, 40(4), 428-462. https://doi.org/10.1007/s12122

-

019

-

09295

-

y

  

Yu, J., Brown, G. T. L., & Stephens, J. M. (2018). Retrospective case studies of successful Chinese learners of English: Continuity and change in self-identities over time and across contexts. System, 72, 124-138. https://doi.

org/10.1016/j.system.2017.11.008

  

 

Yueping, W., Qiuxia, Y., Xiaoke, L., & Jing, C. (2018). The mediating effect of academic procrastination on the relationship between time management tendency and learning burnout of medical students in a university in Henan Province. Journal of Medicine and Society, 31(09), 66-68.  

 

Yuksel, D., Soruc, A., Altay, M., & Curle, S. A longitudinal study at an English medium instruction university in Turkey: the interplay between English language improvement and academic success. Applied Linguistics Review. https://doi.org/10.1515/applirev

-

2020

-

0097

  

 

Yung, Y.-F., & Bentler, P. M. (1996). Bootstrapping techniques in analysis of mean and covariance structures. G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation model-ing: Issues and techniques, 195–226.  

 

Zaihua, L., Caihong, W., & Jianping, C. (2018). The effect of time management tendency on mental health of college students: the mediating role of academic procrastination JOURNAL OF CHANGSHA UNIVERSITY, 32(04), 140-142.  

 

Zawacki-Richter, O., Marin, V. I., Bond, M., & Gouverneur, F. (2019, Oct). Systematic review of research on artificial intelligence applications in higher education - where are the educators? International Journal of Educational Technology in Higher Education, 16(1), Article 39. https://doi.org/10.1186/s41239

-

019

-

0171

-

0

  

 

Zeynali, S., Pishghadam, R., & Fatemi, A. H. (2019, Nov). Identifying the motivational and demotivational factors influencing students' academic achievements in language education. Learning and Motivation, 68, Article 101598. h

ttps://doi.org/10.1016/j.lmot.2019.101598

  

 

Zhang, S., & Feng, T. (2019). Modeling procrastination: Asymmetric decisions to act between the present and the future. Journal of Experimental Psychology General, 149(2).  

 

Zhang, Y. T., Dong, S. Q., Fang, W. J., Chai, X. H., Mei, J. J., & Fan, X. Z. (2018, Oct). Self-efficacy for self-regulation and fear of failure as mediators between self-esteem and academic procrastination among undergraduates in health professions. Advances in Health Sciences Education, 23(4), 817-830. https://doi.org/10.1007/s10459

-

018

-

9832

-

3

  

 

Zheng, B. B., & Zhang, Y. N. (2020, Mar). Self-regulated learning: the effect on medical student learning outcomes in a flipped classroom environment. Bmc Medical Education, 20(1). https://doi.org/10.1186/s12909

-

020

-

02023

-

6

  

 

Zheng, J., Huang, L. Y., Li, S., Lajoie, S. P., Chen, Y. X., & Hmelo-Silver, C. E. (2021, Feb). Self-regulation and emotion matter: A case study of instructor interactions with a learning analytics dashboard. Computers & Education, 161, Article 104061. https://doi.org/10.1016/j.compedu.2020.104061

  

 

Zheng, J. L., Saunders, K. P., Shelley II, M. C., & Whalen, D. F. (2002). Predictors of academic success for freshmen residence hall students. Journal of College Student Development, 43(2), 267.  

 

Zhou, L. (2018). Modern Higher Education Viewed from the Educational Characteristics of Ancient Chinese Academy of Classical Learning. International Conference on Sports, Arts, Education and Management Engineering,  

 

Zhu, W. (1997). Making Bootstrap Statistical Inferences: A Tutorial. Research Quarterly for Exercise & Sport, 68(1), 44-55. https://doi.org/10.1080/02701367.1997.10608865

  

 

Ziegler, N., & Opdenakker, M.-C. (2018). The development of academic procrastination in first-year secondary education students: The link with meta-cognitive self-regulation, self-efficacy, and effort regulation. Learning and Individual Differences, 64, 71-82.  

 

Ziegler, N., & Opdenakker, M. C. (2018, May). The development of academic procrastination in first-year secondary education students: The link with meta-cognitive self-regulation, self-efficacy, and effort regulation. Learning and Individual Differences, 64, 71-82. https://doi.org/10.1016/j.lindif.2018.04.009

  

 

Zimmerman, B. J. (1989a). Models of self-regulated learning and academic achievement. In Self-regulated learning and academic achievement (pp. 1-25). Springer.  

 

Zimmerman, B. J. (1989b). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329. http://dx.doi.org/10.1037/00

22

-

0663.81.3.329

  

 

Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational psychologist, 25(1), 3-17.  

 

Zimmerman, B. J. (1998). Academic studing and the development of personal skill: A self-regulatory perspective. Educational psychologist, 33(2-3), 73-86. https://doi.org/10.1207/s15326985ep3302

\&3_3  

 

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (pp. 13-39). Elsevier.  

 

Zimmerman, B. J. (2000). Self-Efficacy: An Essential Motive to Learn Contemporary Educational Psychology, 25(1), 82-91. https://doi.org/10.1006/ceps.1999.1016

  

 

Zimmerman, B. J. (2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2

  

 

Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.  

 

Zimmerman, B. J. (2015). Self-regulated learning: theories, measures, and outcomes. International encyclopedia of the social & behavioral sciences.  

 

Zimmerman, B. J., Greenberg, D., & Weinstein, C. E. (1994). Self-regulating academic study time: A strategy approach.  

 

Zimmerman, B. J., & Kitsantas, A. (2014). Comparing students’ self-discipline and self-regulation measures and their prediction of academic achievement. Contemporary Educational Psychology, 39(2), 145-155. http://dx.doi.org/10.1016/j.cedpsych.2014.03.004

  

 

Zimmerman, B. J., & Pons, M. M. (1986). Development of a Structured Interview for Assessing Student Use of Self-Regulated Learning Strategies. American Educational Research Journal, 23(4), 614-628. https://doi.org/10.3102/00028312023004614

  

 

Zimmerman, B. J., & Schunk, D. H. (2001). Self-regulated learning and academic achievement: Theoretical perspectives. Routledge.  

 

Zimmerman, B. J., & Schunk, D. H. (2011). Handbook of self-regulation of learning and performance. Routledge/Taylor & Francis Group.  

 

Zohar, A., & David, A. B. (2009). Paving a clear path in a thick forest: A conceptual analysis of a meta-cognitive component. Metacognition and Learning, 4(3), 177-195. https://doi.org/10.1007/s11409

-

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-

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-

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LIST OF PUBLICATIONS 

 

1. Bibliometric Analysis and Visualization of Academic Procrastination. Frontiers in Psychology, ISSN:1664-1078, 18 October 2021, SSCI Q2 (IF: 2.990) Published. (First author) 

 

2. Emerging Trends of Self-regulated Learning: A Comprehensive Bibliometric Analysis. World Journal of English Language. ISSN 1925-0703, Vol. 13, No. 6; 2023, SCOPUS indexed, Published. (First author) 

 

3. Linguistic Philosophy Category and Cultural Relevance in World English and Chinese English. CONVIVIUM, ISSN: 0010-8235, 2019 (38): 529-538, A&HCI, Published (Co-author).   

 

 


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