Abdolreza L., Aida S.M.Y., Kamariah A.B., & Azadeh Z.K. (2016). Comparison of Learning Theories
in Mathematics Teaching Methods. In Fourth 21st CAF Conference, 9 (1), Harvard, Boston,
Massachusetts, USA.
Aldridge, J.M., & Fraser, B.J. (2008). Outcomes-focused learning environments: Determinants
and effects. Sense Publishers.
Alhaqwi, A.I., van der Molen, H.T., Schmidt, H.G., & Magzoub, M.E. (2010). Determinants
of effective clinical learning: a student and teacher perspective in Saudi Arabia. Education for
Health, 23(2), 369.
Allen, I.E. & Seaman. J. (2007). Online Nation: Five Years of Growth in Online
Learning. The Sloan Consortium, Needham, Mass.
Al-Twaijry, A.A. (2010). Student academic performance in undergraduate
managerial-accounting courses. Journal of Education for Business, 85(6), 311- 322.
Ambrose, S.A., Bridges M.W., DiPietro M., Lovett M.C., & Norman M.K. (2010). How
learning works: Seven research-based principles for smart teaching. John Wiley & Sons.
American Psychological Association (1997). Learner-centered psychological
principles: A framework for school redesign and reform. Washington, DC.
American Statistical Association (2016). Employment Projections program, Bureau of Labour
Statistics, U.S.
Anderson, L.W., & Krathwohl, D.R. (2001). A taxonomy for learning, teaching and assessing: A
revision of Bloom’s Taxonomy of educational Objectives. New York: Longman.
Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich,
P.R., & Wittrock, M.C. (2001). Taxonomy for Learning, Teaching, and Assessing: A
Revision of Bloom's Taxonomy of Educational Objectives White Plains, NY: Longman.
Ari, R.B., & Eliassy, L. (2003). The Differential Effects of the Learning
Environment on Student Achievement Motivation: A Comparison between Frontal and Complex
Instruction Strategies. Journal of Social Behaviour and Personality, 31(2), 143-166.
Arzi, H. (2003). Enhancing science education laboratory environment: More than wall,
benches and widgets. International handbook of science education, 1.
Assor, A., Kaplan, H. & Roth (2002). Choice is good, but relevance is excellent:
Autonomy?enhancing and suppressing teacher behaviours predicting students' engagement in
schoolwork. British Journal of Educational Psychology, 72(2),
1-278.
Azry, M.A.M, Mazlini A., Amri A.R., Rahimie M.M.N., & Baharim M., (2016).
Assessing the Relationship between Psychosocial Learning Environment and
Higher Order Thinking Skills. Journal of Mathematical and Computational
Science, 2(1).
Azry, M.A.M, Mazlini A., Norafefah, M.S., Amri A.R., & Jasrul, N.G., (2017). The
relationship between learning environment and psychological characteristics
in higher education. Journal of Advanced Research in Social and Behavioural
Sciences, 7(1), 96-117.
Badaruddin Ibrahim (2012). Exploring the relationships among creativity,
engineering knowledge, and design team interaction on senior engineering
design projects. Colorado State University.
Baek, S.G., & Choi, H.J. (2002). The relationship between students’ perceptions of
classroom environment and their academic achievement in Korea. Asia Pacific
Education Review, 3(1), 125-135.
Baeten M., Dochy F., & Struyven K. (2013). The effects of different learning
environments on students’ motivation for learning and their achievement.
Journal Education Psychology, 83(3), 484-501.
Bailin, S. (2002). Critical thinking and science education. Science & Education,
11(4), 361–375.
Bandura, A. (1997). Self-Efficacy: The exercise of control. New York: W.H. Freeman
and Company.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change.
Psychological Review, 84(2), 191-215.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive
theory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.
Bandura, A., & Locke, E.A. (2003). Negative Self-Efficacy and Goal Effects
Revisited. Journal of Applied Psychology, 88(1), 87–99.
Bao, P.L., Siu, C.K., & Guang, C. (2015). Development and validation of the smart
classroom inventory. Smart Learning Environments, 2(1), 1-18.
Barahal, S.L. (2008). Thinking about thinking. Phi Delta Kappan, 90(4), 298-302.
Barker, R.G. (1968). Ecological Psychology. Concepts and Methods for Studying the
Environment of Human Behavior. Standford, CA: Standford University Press.
Bass, B., Avolio, B., Jung, D., & Berson Y. (2003). Predicting unit performance by
assessing transformational and transactional leadership. Journal of Applied
Psychology, 88(2), 207–218.
Becker, J.M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in
PLS-SEM: guidelines for using reflective-formative type models. Long Range
Planning, 45(5), 359-394.
Beebe, K.R., Pell, R.J., & Seasholtz, M.B. (1998). Chemo metrics: A Practical Guide.
New York: Wiley.
Beins, B.C. (2004). Research Method: A tool for life with research. Boston: Allyn &
Bacon.
Bentler, P. M., & Bonett, D. G. (1980). Significance Tests and Goodness-of-Fit in the
Analysis of Covariance Structures, Psychological Bulletin, 88, 588-600.
Beno, C. (1997). The development of inductive reasoning: Cross-sectional
assessments in an educational context. International Journal of Behavioural
Development, 20(4), 609-626.
Bernstein, D.A., Penner, L.A., Clarke, S.A., & Roy, E.J. (2006). Psychology (7th ed.)
Boston M.A. Houghton Mifflin Company.
Black, A.E., & Deci, E.L. (2000). The effects of instructors' autonomy support and
students' autonomous motivation on learning organic chemistry: A
selfdetermination theory perspective. Science education, 84(6), 740-756.
Bloom, B.S. (1956). Taxonomy of educational objectives. New York: McKay.
Bong, M. (2005). Within-grade changes in Korean girls' motivation and perceptions
of the learning environment across domains and achievement levels. Journal
of educational psychology, 97(4), 656-672.
Booker, Q.E., & Rebman, C.E. (2005). E-student retention: Factors affecting
customer loyalty for online program success. Issues in Information Systems,
1(1), 183-189.
Bransford, J.D., & Stein, B.S, (1984). The IDEAL problem solver. New York: W.H.
Freeman.
Brookhart, S.M., (2010). How to assess higher-order thinking skills in your
classroom. Alexandria, Virginia USA. Association for Supervision and
Curriculum Development ASCD.
Brown, M.N., & Freeman, K. (2000). Distinguishing Features of Critical Thinking
Classrooms. Teach. Higher Education. 5(3), 301-309.
Bruner, J.S. (1966). Toward a theory of instruction. Cambridge, Mass.: Belkapp
Press.
Bryman, A., & Bell, E. (2007). Business Research Method. New York: Oxford
University Press.
Budsankom, P., Sawangboon T., Damrongpanit S., & Chuensirimongkol J. (2015).
Factors affecting higher order thinking skills of students: A meta-analytic
structural equation modeling study. Educational Research and
Reviews, 10(19), 2639-2652.
Byrne, B.M. (2010). Structural Equation Modeling with AMOS: Basic Concepts,
Applications, and Programming. Routledge. New York
Cavana, R., Delahaye, B.L., & Sekaran, U. (2001). Applied Business Research:
Qualitative and Quantitative Methods. Australia: John Wiley and Sons.
Chabeli, M.M. (2006). Higher order thinking skills competencies required by
outcomes-based education from learners. Curationis, 29(3), 78-86.
Chang, V., & Fisher, D.L. (2001). The validation and application of a new learning
environment instrument to evaluate online learning in higher education.
In Proceedings of the Australian Association for Research in Education
conference 2001. Australian Association for Research in Education.
Chapell, M.S., Blanding, Z.B., Silverstein, M.E., Takahashi, M., Newman, B., &
Gubi, A. (2005). Test anxiety and academic performance in undergraduate
and graduate students. Journal of educational Psychology, 97(2), 268.
Che Nidzam, C.A., Kamisah O., & Lilia H. (2014). The establishment of physical
aspects of science laboratory environment inventory (PSLEI). Journal of
Turkish Science Education, 11(2), 123-136.
Che Nidzam, C.A., Kamisah O., & Lilia, H. (2013). Physical and psychosocial
aspects of the learning environment in the science laboratory and their
relationship to teacher satisfaction. Learning Environments Research, 16(3),
367-385.
Chin, W.W. (2010). How to write up and report PLS analyses. In Handbook of partial
least squares (pp. 655-690). Springer, Berlin, Heidelberg.
Chin, W.W., Marcolin, B. L., & Newsted, P.R. (2003). A partial least square latent
variable modeling approach for measuring interaction effects. Results from a
Monte Carlo simulation study and an electronic-mail emotion/adoption study.
Information Systems Research 14(2), 189–217.
Chinedu, C.C., Libunao, W.H., Kamen, Y.B., & Saud, M.S.B. (2014).
Implementing Higher Order Thinking Skills in Teaching and Learning of
Design and Technology Education. International Seminar on Technical and
Vocational Education, Johor-Malaysia.
Chinedu, C.C., Olabiyi, O.S., & Kamin, Y. (2015). Strategies for Improving Higher
Order Thinking Skills in Teaching and Learning of Design and Technology
Education. Journal of Technical Education and Training, 7(2), 35-43.
Chini J.C., Carmichael, A., Rebello, N.S., & Puntambekar S. (2009). Does the
teaching/learning interview provide an accurate snapshot of classroom
learning?. In AIP Conference Proceedings (Vol. 1179, No. 1, pp. 113-116).
AIP.
Chionh, Y.H., & Fraser, B.J. (2009). Classroom environment, achievement, attitudes
and self-esteem in geography and mathematics in Singapore. International
Research in Geographical and Environmental Education, 18(1), 29-44.
Chisholm, M.A., Cobb, H.H. & Kotzan J.A. (1997). Prior four year college degree
and academic performance of first year pharmacy students: a three year
study. American Journal of Pharmaceutical Education, 61(3), 278-280.
Chism, N.V.N. (2006). Challenging traditional assumptions and rethinking learning
spaces. Learning spaces, 2-1.
Choy, S.C, & Phaik, K.C., (2009). Teacher perceptions of critical thinking among
students and its influence on higher education. International Journal of
teaching and learning in Higher Education, 20(2), 198-206.
Church, M.A., Elliot, A.J., & Gable, S.L. (2001). Perceptions of Classroom
Environment, Achievement Goals, and Achievement Outcomes. Journal of
Educational Psychology, 93(1), 43-54.
Churchill, G.A., & Iacobucci, D. (2002). Marketing research – Methodological
foundations. Australia: South Western Thomson Learning.
Chute, A.G., Thompson, M.M., & Hancock, B.W. (1999). The McGraw-Hill
handbook of distance learning. New York: McGraw-Hill.
Cobb, G., & Moore, D.S. (1997). Mathematics, statistics and teaching. American
Mathematical Monthly, 104(9), 801-823.
Costa, A.L., & Kallick, B. (2008). Learning and Leading with Habits of Mind.
Alexandria, Virginia USA. Association for Supervision and Curriculum
Development ASCD.
Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003). Applied multiple
regression/correlation analysis for the behavioural sciences. Mahwah, NJ:
Erlbaum.
Cohen, (1988). Statistical power analysis for the behavioural sciences. NJ:
Lawrence Erlbaum Associates.
Coie, J.D., Dodge, K.A., & Kupersmidt, J.B. (1990). Peer group behaviour and social
status. Peer rejection in childhood, 17.
Cordova, D.I., & Lepper, M.R. (1996). Intrinsic motivation and the process of
learning: Beneficial effects of contextualization, personalization, and
choice. Journal of educational psychology, 88(4), 715–730.
Cotton, K. (1991). Teaching thinking skills. School Improvement Research Series.
Creswell, J. W. (2003). Qualitative, quantitative, and mixed methods approaches.
Thousand Oaks, CA: Sage.
Crowl, T.K., Kaminsky, S., & Podell, D.M. (1997). Educational psychology:
Windows on teaching. Madison, WI: Brown and Benchmark.
Curtin, P. (2004). Employability skills for the future. Generic skills in vocational
education and training, 38-52.
Davis, C.R. (2002). Calculated Risk: A Framework for Evaluating Product
Development. Sloan Management Review, 43(4), 71-77.
Davis, D. (1996). Business Research for Decision Making (4th ed.). Belmont,
California: Duxbury Press.
DeBourgh, G.A. (1999). Technology is the tool, teaching is the task: Student
satisfaction in distance learning. Proceedings of Society for Information
Technology & Teacher Education International Conference, 131-137. San
Antonio, TX,
Deming, W.E. (1986). Out of Crisis, Centre for Advanced Engineering
Study. Massachusetts Institute of Technology. Cambridge, MA.
Department of Education Science and Training, (2002). Employability skills for the
future. A report by the Australian Chamber of Commerce and Industry and the
Business Council of Australia for DEST.
Department of Statistic (2015). Unemployment Rate. Available
https://www.statistics.gov.my
DeVeaux, R.D., & Velleman, P.F. (2008). Math is music; statistics is literature (or,
why are there no six-year-old novelists?). Amstat News, 375, 54-58.
DeVries, R., & Kohlberg, L. (1987). Programs of early education: The constructivist
view. New York: Longman.
Dewey, J. (1933). How we think: A restatement of the relation of reflective thinking
to the educative process. Boston: D. C. Heath and Company.
Dijkstra, T. K. (2010). Latent variables and indices: Herman Wold’s basic design and
partial least squares. In Handbook of partial least squares (pp. 23-46).
Springer, Berlin, Heidelberg
Dijkstra, T.K. & Henseler, J. (2015). Consistent and Asymptotically Normal PLS
Estimators for Linear Structural Equations, Computational Statistics & Data
Analysis, 81(1), 10-23.
Donahue, T.L., & Wong, E.H. (1997). Achievement motivation and college
satisfaction in traditional and nontraditional students. Education, 118(2), 237-
244.
Dorman, J.P. (2009). Associations between psychosocial environment and outcomes
in technology-rich classrooms in Australian secondary schools. Research in
Education, 82(1), 69-84.
Dorman, J.P. & Adams, J. (2004). Associations between students' perceptions of
classroom environment and academic efficacy in Australian and British
secondary schools. Westminster Studies in Education, 27(1), 69-85.
Dorman, J.P., & Fraser, B.J. (2009). Psychosocial Environment and Affective
Outcomes in Technology-Rich Classrooms: Testing a Causal Model. Social
Psychology of Education: An International Journal, 12(1), 77-99.
Dorman, J.P. (2001). Associations between classroom environment and academic
efficacy. Learning Environments Research, 4(3), 243-257.
Edman, J.L., & Brazil, B. (2007). Perceptions of campus climate, academic efficacy
and academic success among community college students: An ethnic
comparison. Social Psychology of Education, 12(3), 371-383.
Effandi, Z., & Muzakkir, S., (2017). The Effect of Realistic Mathematics Education
Approach on Students’ Achievement and Attitudes towards
Mathematics. Mathematics Education Trends and Research, 2017(1), 32-40.
Effandi, Z., Norhidayah A., Siti Mistima, M., & Norazah, M.N., (2016). Teaching
Concepts and Use of High-Order Cognitive Strategies in Mathematics among
Secondary School Teachers. Research Journal of Applied Sciences, 11(8),
632-635.
Ernest, A. (2013). The Effects of Psychosocial Learning Environment on Students’
Attitudes towards Mathematics. Application of Structural Equation Modeling
in Educational Research and Practice, 2, 91-114.
Facione, P.A. (2000). The disposition toward critical thinking: Its character,
measurement, and relation to critical thinking skill. Informal Logic, 20(1), 61-
84.
Fatimah, S., & Lim, C.S., (2004). Mathematics education in Malaysia: Where are we
heading. Trends and Challenges in Mathematics Education. East China
Normal University Press, Shanghai, 129-138.
Fischer, C.G., & Grant, G.E. (1983). Intellectual levels in college classrooms. Studies
of college teaching, 47-60.
Fleith D.S. (2000). Teacher and student perceptions of creativity in the classroom
environment. Roeper Review, 22(3), 148-153.
Florida Department of Education (1996). Sunshine State Standards. Tallahassee,
Florida
Fogarty, R., & McTighe, J. (1993). Education teachers for higher order thinking: The
three-story intellect. Theory into Practice, 32(3), 161−169.
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equations models with
unobservable variables and measurement error. Journal of Marketing
Research, 18(1), 39-50.
Fornell, C. (1992). A National Customer Satisfaction Barometer: The Swedish
Experience. Journal of Marketing, 56(1), 6-21
Frank, H., Kessler, A., Mitterer, G., & Sammer, W. D. (2012). Learning Orientation
of SMEs and Its Impact on Firm Performance. Journal of Marketing
Development and Competitiveness, 6(3), 29-41.
Fraser, B.J. & Kahle, J.B. (2007). Classroom, home and peer environment influences
on student’s outcomes in Science and Mathematics: An Analysis of systematic
reform data. International Journal of Science Education. 29(15), 1891–1909.
Fraser, B.J. (1981). Test of science-related attitudes (TOSRA) handbook. Melbourne:
Australian Council for Educational Research.
Fraser, B.J. (1998). Science learning environments: Assessment, effects and
determinants. International handbook of science education, 527-564.
Fraser, B.J., & Lee, S.S. (2009). Science laboratory classroom environments in
Korean high schools. Learning Environments Research, 12(1), 67-84.
Fraser, B.J., Aldridge, J.M., & Adolphe, F.S.G. (2010). A cross-national study of
secondary science classroom environments in Australia and
Indonesia. Research in Science Education, 40(4), 551-571.
Gagné, R.M., Briggs, L.J., & Wager, W.W. (1988). Principles of instructional
design. New York: Holt, Rinehart and Winston, Inc.
Gal, I. (2002). Adults’ statistical literacy: meanings, components, responsibilities.
International Statistic Review, 70(1), 1-51.
Gallagher, A.M., DeLisi, R., Holst, P.C., McGillicuddy A.V., Morely, M. & Cahalan,
C. (2000). Gender differences in advanced mathematical problem
solving. Journal of Experimental Child Psychology, 75(3), 165-190.
Galhardas, H., Florescu, D., Shasha, D., & Simon, E. (1999). An extensible
Framework for Data Cleaning. In Data Engineering, 2000. Proceedings. 16th
International Conference on (pp. 312-312). IEEE.
Galton, M., Hargreaves, L., & Pell, T. (2009). Group work and whole-class teaching
with 11 to 14-year olds compared. Cambridge Journal of Education, 39(1),
119-140.
Galton, M., Hargreaves, L., Comber, C., Wall, D., & Pell, A. (1999) Changes in
patterns of teacher interaction in primary classrooms: 1976? 96. British
Educational Research Journal, 25(1), 23-37
Gardiner, W.L. (1989). Forecasting, planning, and the future of the information
society. High technology workplaces: Integrating technology, management,
and design for productive work environments, 27-39.
Garside, C. (1996). Look Who's Talking: A Comparison of Lecture and Group
Discussion Teaching Strategies in Developing Critical Thinking
Skills. Communication Education, 45(3), 212-27.
Gay, L., Mills, G., & Airasian, P. (2006). Educational research: Competencies for
analysis and applications. New Jersey: Pearson Education, Inc.
Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLSGraph:
Tutorial and annotated example. Communications of the Association
for Information systems, 16(1), 5.
Gefen, D., Straub, D.W., & Boudreau, M.C. (2000). Structural Equation Modeling
and Regression: Guidelines for Research Practice. Communications of the
Association for Information Systems, 4(1), 1–79.
George, J.M., & Jones, G.R, (2001). Towards a process model of individual change in
organizations. Human relations, 54(4), 419-444.
Glaser, E.M. (1941). An experiment in the development of critical thinking. New
York: AMS Press.
Goh, S.C., & Fraser, B.J. (2000). Teacher interpersonal behaviour and elementary
students' outcomes. Journal of Research in Childhood Education, 14(2), 216-
231.
Golightly T.R. (2007). Defining the components of academic self-efficacy in Navajo
American Indian high school students. (Doctoral Dissertation, Brigham Young
University)
Gore, P.A. (2006). Academic self-efficacy as a predictor of college outcomes: Two
incremental validity studies. Journal of career assessment, 14(1), 92-115.
Gulistan, M.S., Saedah, S., Abu Bakar, N. & Omed, S.A. (2015). Higher Order
Thinking Skills among Secondary School Students in Science
Learning. Malaysian Online Journal of Educational Sciences, 3(3), 13-20.
Habibollah, N., Rohani, A., Tengku Aizan, H., Jamaluddin, S.V. & Mallan, K.
(2009). Self-esteem, gender and academic achievement of undergraduate
students. American Journal of Scientific Research, 3(1), 26-37.
Hair, J.F., Hult, G.T.M., Ringle, C.M., and Sarstedt, M. (2017). A Primer on Partial
Least Squares Structural Equation Modeling (PLS-SEM) (2nd Ed.). Sage:
Thousand Oaks.
Hair, J., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data
analysis (7th Ed.). Upper saddle River, New Jersey: Pearson Education
International.
Hair, J., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on Partial
Least Squares Structural Equation Modeling. Thousand Oaks: Sage.
Hair, J., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: indeed, a silver bullet. The
Journal of Marketing Theory and Practice, 19(2), 139-152.
Hair, J.F., Anderson, R.L. & Tatham, W.C. (2006), Multivariate Data Analysis with
Reading (6th ed). Upper Saddle River, NJ: Prentice-Hall
Hair, J.F., Babin, B., Money, A.H., & Samouel, P. (2003). Essentials of business
research methods. Hoboken, NJ: Wiley.
Hair, J.F., Jr., Ringle, C.M., & Sarstedt, M. (2013). Partial least squares structural
equation modeling: Rigorous applications, better results and higher
acceptance. Long Range Planning, 46(1-2), 1–12.
Haladyna, T.M. (1997). Writing test items to evaluate higher order thinking. Boston:
Allyn and Bacon
Hansmann, K.W., & Ringle, C.M. (2005). Enterprise-networks and strategic success-
An empirical analysis. Strategies for cooperation, 133-152.
Hasan, Z., & Mahdi, K. (2016). The Role of Deductive and Inductive Reasoning in
Accounting Research and Standard Setting. Asian Journal of Finance &
Accounting, 8(1), 23-37.
Hyde, J. S., Fennema, E. & Lamon, S. J. (1990). Gender differences in mathematics
performance: a meta-analysis. Psychological bulletin, 107(2), 139.
Reguia, C. (2014). Product Innovation and Competitive Advantage. European
Scientific Journal, 10(10).
Hastings N, (1995). Seats of learning?. Support for Learning, 10(1), 8-11.
Hayes, A.F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the
new millennium. Communication Monographs, 76(4), 408-420.
Henseler, J., & Chin, W.W. (2010). A comparison for the approaches for the analysis
of interaction effects between latent variables using partial least squares
structural equation modeling. Structural Equation Modeling, 17(1), 82–109.
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares
path modeling. Computational Statistics, 28(2), 565–580.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C.M., Diamantopoulos, A., Straub,
D.W., Ketchen, D.J., Hair, J.F., Hult, G.T.M., and Calantone, R.J.
(2014). Common Beliefs and Reality about Partial Least Squares: Comments
on Rönkkö & Evermann (2013), Organizational Research Methods, 17(2),
182-209.
Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The use of partial least squares
path modeling in international marketing. In New challenges to international
marketing (pp. 277-319). Emerald Group Publishing Limited.
Henseler, J., Hubona, G., & Pauline A.R., (2016). Using PLS Path Modeling in
New Technology Research: Updated Guidelines. Industrial Management &
Data Systems, 116(1), 2-20.
Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review
of Educational research, 60(4), 549-571.
Higgins, J.J. (1999). Nonmathematical statistics: A new direction for undergraduate
discipline. The American Statistician, 53(1), 1-6.
Higgins, S., Hall, E., Wall, K., Woolner, P. & McCaughey, C. (2005). The impact of
school environments: A literature review. London: Design Council.
Hijazi, S.T., & Naqvi, S.M.M.R. (2006). Factors affecting students’ performance: A
case of private colleges. Bangladesh e-journal of Sociology, 3(1).
Hofstein, A., & Lunetta, V.N. (2004). The laboratory in science education:
Foundations for the twenty? first century. Science education, 88(1), 28-54.
Hsieh, P., Sullivan, J.R., & Guerra, N.S. (2007). A closer look at college students:
Self-efficacy and goal orientation. Journal of Advanced Academics, 18(3),
454-476.
Hu, L.T., & Bentler, P.M. (1998). Fit Indices in Covariance Structure Modeling:
Sensitivity to Underparameterized Model Misspecification, Psychological
Methods, 3(4), 424-453.
Huang, J., Lin, Y., & Chuang, S. (2007). Elucidating user behaviour of mobile
learning: A perspective of the extended technology acceptance model. The
Electronic Library, 25(5), 586–599.
James, H.S., Pamela, D.T., & Jennifer, L.H. (2004). Handbook for Qualities Effective
Teachers. Association for Supervision and Curriculum Development ASCD.
Alexandria.
Jarvis, D., MacKenzie, S., Podsakoff, P., (2003). A critical review of construct
indicators and measurement model misspecification in marketing and
consumer research. Journal of consumer research 30(3), 199-218.
Jones, J. (1992). Teaching clientele how or what to think: Strategies to foster critical
thinking in clientele. Journal of Extension, 30(1), 11-12.
Junaidah, H. (2009). Academic Excellence as Selection Criteria among Selected
Malaysian Employer. Department of Business Administration, KENMS
International Islamic University Malaysia.
Juran, J.M. (1991). World War II and the quality movement. Quality Progress,
24(12), 19-24.
Kauchak, D.P., & Eggen, P.D. (1998). Learning and teaching: Research-based
methods. Boston: Allyn and Bacon.
Keller, J.M. (1983). Motivational design of instruction. Instructional design theories
and models: An overview of their current status, 1(1983), 383-434.
Kember, D., Ho, A., & Hong, C. (2010). Characterising a teaching and learning
environment capable of motivating student learning. Learning Environments
Research, 13(1), 43-57.
Kerka, S. (1992). Higher Order Thinking Skills in Vocational Education. ERIC Digest
No. 127.
Khine, M.S. (2002). Study of learning environment for improving science education
in Brunei. In Studies in educational learning environments: An international
perspective (pp. 131-151).
Kilgour, P. (2006). Student, teacher and parent perceptions of classroom
environments in streamed and unstreamed mathematics classrooms (Doctoral
dissertation, Curtin University).
Kind, P., Jones, K., & Barmby. P. (2007). Development attitudes towards science
measures. International Journal of Science Education, 29(7), 871-893.
King, F., Goodson, L., & Rohani, F. (2011). Higher order thinking skills: Definitions,
strategies, assessment. Center for Advancement of Learning and Assessment.
Tallahassee, FL: Florida State University.
Knight G., & Noyes J. (1999). Children's behaviour and the design of school
furniture. Ergonomics, 42(5), 747-760.
Kotler, P. (2001). Marketing Management. Millenium Edition. Pearson Education.
Prentice-Hall, Inc.
Korpershoek, H., Harms, T., de Boer, H., van Kuijk, M., & Doolaard, S. (2014). A
meta-analysis of the effects of classroom management strategies and
classroom management programs on students’ academic, behavioural,
emotional, and motivational outcomes. Review of Educational
Research, 86(3), 643-680.
Krathwohl, D.R. (2002). A revision of Bloom's taxonomy: An overview. Theory into
practice, 41(4), 212-218.
Krishnan, S., & Noraini, I., (2014). Aspects of Reform in Improving Malaysian
Students' Learning of Statistics. International Proceedings of Economics
Development and Research, 81, 109.
Kumar M.N., Garimella U., Nalla D. (2014). Enabling higher order thinking and
technical communication, An Indian context for OBE. In Frontiers in
Education Conference (FIE), 2014 IEEE (pp. 1-7). IEEE.
Kutner, M.H., Nachtsheim, C.J., Neter, J., Wasserman, W., (2005). Applied Linear
Statistical Models. McGraw-Hill. New York.
Lakshman, M., Sinha, L., Biswas, M., Charles, M., & Arora, N.K. (2000).
Quantitative Vs Qualitative Research Methods. Indian Journal of Paediatrics,
67(5), 369-377.
Lammers, W.J., & Smith, S.M. (2008). Learning factors in the university classroom:
Faculty and student perspectives. Teaching of Psychology, 35(2), 61-70.
Lane, K., Pierson, M., & Givner, C. (2003). Teacher expectations of student
behaviour: Which skills do elementary and secondary teachers deem necessary
for success in the classroom?. Education and Treatment of Children, 413-430
Lather A.S., Jain S., & Shukla A.D. (2014). Student’s Creativity in Relation to Locus
of Control: A Study of Mysore University, India. International Journal Indian
Psycho, 2(1), 146-165.
Lau T.K., Phang Y.N., & Zainudin A. (2012). Statistics for UiTM. Third edition.
Oxford Fajar.
Legg, S.M. (1990). Issues in critical thinking. College of Pharmacy at the University
of Florida, Gainesville, FL.
Lewis, A., & Smith, D. (1993). Defining higher order thinking. Theory into Practice,
32(3), 131−137.
Lewis, B.R., Templeton, G.F., & Byrd, T.A. (2005). A Methodology for Construct
Development in MIS Research, European Journal of Information Systems,
14(4), 388-400.
Lim, C. S. (2006). In search of good practice and innovation in mathematics
teaching and learning: A Malaysian perspective. In APEC-Tsukuba
Conference: Innovative Teaching Mathematics through Lesson Study (pp. 16-
20).
Lim, C.H., Nagendralingan, R., Sopia, M.Y, Noor Shah, S., Rajendran, N., & Idris,
M.R., (2012). The challenge to transform learning: Changing teachers’ theory
of teaching. Journal of Research, Policy & Practice of Teachers & Teacher
Education, 2(1), 6-15.
Lizzio, A., Wilson, K., & Simon, R. (2002). University students' perceptions of the
learning environment and academic outcomes: implications for theory and
practice. Studies in Higher education, 27(1), 27-52
Loes, C.N., Salisbury, M.H. & Pascarella, E.T. (2015). Student perceptions of
effective instruction and the development of critical thinking: A replication
and extension. Higher Education, 69(5), 823-838.
Lohmoller, J.B., (1989). Predictive vs. structural modeling: Pls vs. ml. In Latent
Variable Path Modeling with Partial Least Squares (pp. 199-226). Physica,
Heidelberg.
López, J., & Whittington, M. S. (2001). Higher-order thinking in a college course: A
case study. NACTA Journal, 45(4), 22-29.
Lorsbach, A., & Jinks, J. (1999). Self-efficacy theory and learning environment
research. Learning Environments Research, 2(2), 157-167.
Loughlin, C.E. and Suina, J.H. (1982). The Learning Environment: An Instructional
Strategy. Teachers College Press, Columbia University, New York.
Lucas, B., Spencer, E., & Claxton, G. (2012). How to teach vocational education.
City & Guilds Centre for Skills Development, London.
MacGillivray, H., & Pereira-Mendoza, L. (2011). Teaching statistical thinking
through investigative projects. In teaching statistics in school mathematicschallenges
for teaching and teacher education (pp. 109-120). Springer,
Dordrecht.
Majeed, A., Fraser, B.J., & Aldridge, J.M. (2002). Learning environment and its
association with student satisfaction among mathematics students in Brunei
Darussalam. Learning Environments Research, 5(2), 203-226.
Malaysia Education Blueprint (2012). Preliminary Report: Malaysia education
blueprint 2013-2025. Teachers and school’s leader. Kementerian Pelajaran
Malaysia.
Malecki, C.K., & Elliott, S.N. (2002). Children's social behaviors as predictors of
academic achievement: A longitudinal analysis. School Psychology
Quarterly, 17(1), 1-23.
Margolis, H. & McCabe, P.P. (2006). Improving self-efficacy and motivation: What
to do, what to say. Intervention in School & Clinic, 41(4) 218-227.
Marso, R.N., & Pigge, F.L. (1993). 6. Teachers' Testing Knowledge, Skills, and
Practices.
Marzano, R.J., Pickering, D.J., Arredondo, D.E., Blackburn, G.J., Brandt, R.S.,
Moffett, C.A., Paynter, D.E., Pollock, J.E., & Whisler, J.S. (1997).
Dimensions of Learning: Teacher’s Manual. Alexandria, VA: Association for
Supervision and Curriculum Development ASCD.
Marzano, R.J., Pickering, D.J., & McTighe, J. (1993). Assessing student outcomes;
Performance assessment using the dimensions of learning model. Alexandria,
VA: Association for Supervision and Curriculum Development ASCD.
Marzita, P., Che Nidzam, C.A., Noraini, M.N., Mazlini, A., & Mohd Hairy, I.
(2015). The Classroom Physical Environment and Its Relation to Teaching
and Learning Comfort Level. International Journal of Social Science and
Humanity, 5 (3).
Masten, A.S., Hubbard J.J., Gest S.D, Tellegen A., Garmezy N., Ramirez M. (1999).
Competence in the context of adversity: Pathways to resilience and
maladaptation from childhood to late adolescence. Development and
psychopathology, 11(1), 143-169.
Matai, P.H.L.D.S. & Matai, S. (2007). Cooperative Education: The Physical
Environment. In International Conference on Engineering Education (ICEE),
3-7.
McDavitt, D. S. (1993). Teaching for understanding: Attaining higher order learning
and increased achievement through experiential instruction. (ERIC Document
Reproduction Service No. ED 374 093)
McGrew, K. (2010). Model of Academic Competence & Motivation (MACM).
Institute for Applied Psychometrics IAP.
McMillan, J.H. (2001). Secondary teachers’ classroom assessment and grading
practices. Educational Measurement: Issues and practice, 20(1), 20-32.
McMillan, J.H., Myron, S., & Workman, D. (2002). Elementary teachers’ classroom
assessment and grading practices. Journal of Educational Research, 95(4),
203-213.
McRobbie, C.J., & Fraser, B.J. (1993 Associations between student outcomes and
psychosocial science environment. The Journal of Educational
Research, 87(2), 78-85.
Miles, C. (1992). The fourth “R”: Checklists for assessing thought in action. Journal
of Developmental Education, 16(2), 32–33.
Miller, C. (1989). Cognitive levels of instruction and student performance in college
of agriculture courses (Doctoral dissertation, The Ohio State University).
Miri, B., David, B. C., & Uri, Z. (2007). Purposely teaching for the promotion of
higher-order thinking skills: A case of critical thinking. Research in science
education, 37(4), 353-369.
Mohd. Ali I., & Shaharom N., (2003) Perbandingan Pencapaian Para Pelajar Dalam
Pentaksiran Kerja Amali Dengan Peperiksaan Bertulis. Buletin Persatuan
Pendidikan Sains dan Matematik Johor.
Monahan, T. (2002). Flexible space & built pedagogy: Emerging IT embodiments.
Inventio, 4(1), 1-19.
Moneta G.B., & Siu C.M.Y. (2002). Trait intrinsic and extrinsic motivations,
academic performance, and creativity in Hong Kong college students. Journal
of College Students Dev, 43(5), 664-683.
Montgomery, D.C., Peck, E.A. & Vining G.G., (2006). Introduction to linear
regression analysis (Vol. 821). John Wiley & Sons.
Moore, J.C. (2005). The Sloan Consortium Quality Framework and the Five Pillars.
The Sloan Consortium.
Moore, J.C. (2009). A synthesis of Sloan-C effective practices. Journal of
synchronous Learning Networks, 13(4), 84-94.
Moore, M.G., & Kearsley, G. (1996). Distance education: A systems view. Belmont,
CA: Wadsworth Publishing Company.
Moos, R.H. (1973). Conceptualizations of human environments. American
psychologist, 28(8), 652.
Moos, R.H. (1979). Evaluating educational environments: Procedures, methods,
findings and policy implications. San Francisco, CA: Jossey-Bass.
Morris C.G., & Maisto A.A. (2002). Psychology and Introduction. New Jersey:
Upper Saddle River.
Munirah G., & Santi S., (2014). A Research on Teachers’ Beliefs about Mathematics
Teaching and Learning between Sekolah Kebangsaan (SK), Sekolah Jenis
Kebangsaan Cina (SJKC) and Sekolah Jenis Kebangsaan Tamil (SJKT).
Journal of Education and Practice, 5(31).
Myers, R.H., (1986). Classical and modern regression with applications. Duxbury
Press, Boston.
Nelson R.M., & Debacker T.K. (2008). Achievement motivation in adolescents: The
role of peer climate and best friends. The Journal of Experimental
Education, 76(2), 170-189.
Nitko, A.J., & Brookhart, S.M. (2007). Educational assessment of students. Upper
Saddle River, NJ: Pearson Education.
Noor Azlan A.Z. (2000). Perkembangan dan cabaran pendidikan matematik di abad
ke-21. Jabatan Pendidikan Sains dan Matematik, Fakulti Pendidikan,
Universiti Teknologi Malaysia, Skudai, Johor.
Nor’ain, M.T., & Mohan, C., (2016). The Link between Higher Order Thinking
Skills, Representation and Concepts in Enhancing TIMSS Tasks. International
Journal of Instruction, 9(2), 199-214.
Nor'ain, M.T., (2015). Exploring Mathematics Lecturer’s Teaching and Learning
Practices at Higher Learning Institution. International Journal of
Contemporary Applied Sciences, 2(8).
Norris, S.P., & Ennis, R.H. (1989). What is critical thinking. The practitioner's guide
to teaching thinking series: Evaluating critical thinking, 1-26.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory. New York, NY:
McGraw-Hill
Nurul Jannah, A., Che Nidzam, C.A., Asmawati, Mohd Faizal, N.L.A., Mazlini, A., &
Noraini, M.N. (2013). The physical classroom learning environment.
In Proceedings of the International Higher Education Teaching and Learning
Conference (Vol. 2, No. 1, pp. 1-9).
Ogbuehi, P.I., & Fraser, B.J. (2007). Learning environment, attitudes and conceptual
development associated with innovative strategies in middle-school
mathematics. Learning Environments Research, 10(2), 101-114.
Okurut, C.O. (2010). Classroom learning environment and motivation towards
mathematics among secondary school students in Uganda. Learning
Environments Research, 13(3), 267-277.
Oliver, R.L. (1993). Cognitive, affective, and attribute bases of the satisfaction
response. Journal of consumer research, 20(3), 418-430.
Pajares, F. & Schunk, D.H. (2001). The Development of Academic Self-Efficacy.
In Development of Achievement Motivation (pp. 15-31).
Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational
Research, 66(4), 543-578.
Pannells T.C., & Claxton A.F. (2008 Happiness, creative ideation, and locus of
control. Creativity research journal, 20(1), 67-71.
Parker, L.E., & Lepper, M.R. (1992). Effects of fantasy contexts on children's
learning and motivation: Making learning more fun. Journal of personality
and social psychology, 62(4), 625–633.
Pascarella E.T., Wang J.S., Trolian T.L., & Blaich C. (2013). How the instructional
and learning environments of liberal arts colleges enhance cognitive
development. Higher Education, 66(5), 569-583.
Patrick H., Ryan A., & Kaplan A. (2007). Early adolescents' perceptions of the
classroom social environment, motivational beliefs, and engagement. Journal
of educational psychology, 99(1), 83.
Patrick, J.H. (1986). Critical thinking in the social studies. ERIC Digest No. 30.
Peter, J.P. (1981). Construct validity: A review of basic issues and marketing
practices. Journal of Marketing Research, 18, 133-145.
Piaget, J. (1976). Piaget’s theory. In Piaget and his school (pp. 11-23). Springer,
Berlin, Heidelberg.
Pickard, M.J. (2007). The new Bloom’s taxonomy: An overview for family and
consumer sciences. Journal of Family and Consumer Sciences Education,
25(1), 45-55.
Pickford, J.C. (1988). Selected student and professor variables related to cognitive
achievement in college of agricultural course (Doctoral dissertation, The Ohio
State University).
Pintrich, R.P., Smith, D.A., Garcia, F., & McKeachie T.W.J., (1991). A manual for
the use of the Motivated Strategies for Learning Questionnaire (MSQL). Ann
Arbor: Michigan, 48, 9-12.
Preacher, K.J., & Hayes, A.F. (2004). SPSS and SAS procedures for estimating
indirect effects in simple mediation models. Behaviour research methods,
instruments, & computers, 36(4), 717-731.
Preacher, K.J., & Hayes, A.F. (2008). Assessing mediation in communication
research. The Sage sourcebook of advanced data analysis methods for
communication research, 13-54.
Rahil, M., Habibah, E., Loh, S.C., Muhd Fauzi, M., Nooreen, N. & Maria, C.A.
(2006). The relationship between students' self efficacy and their English
language achievement. Malaysian Journal of Educators and Education, 21,
61-71.
Rajendran, N. (2001). The Teaching of Higher-Order Thinking Skills in
Malaysia. Journal of Southeast Asian Education, 2(1), 42-65.
Rajendran, N., & Idris, P.U.P.S. (2008). Teaching & Acquiring Higher-Order
Thinking Skills: Theory & Practice. Penerbit Universiti Pendidikan Sultan
Idris.
Ramayah, T., Lee, W.C., & Boey, C.I. (2011). Network Collaboration and
Performance in the Tourism Sector. Service Business, 5(4), 411-428.
Ramos, J.L.S., Dolipas, B.B. & Villamore, B.B. (2013). Higher order thinking skills
and academic performance in physics of college students: A regression
analysis. International Journal of Innovative Interdisciplinary Research, 1(4),
48-60.
Raudenbush, S.W., Rowan, B., & Cheong, Y. F. (1993). Higher order instructional
goals in secondary schools: Class, teacher, and school influences. American
Educational Research Journal, 30(3), 523−553.
Reed, H.C., Drijvers, P., & Kirschner, P.A. (2010). Effects of attitudes and behaviours
on learning mathematics with computer tools. Computers & Education, 55(1),
1-15.
Reston, E., Krishnan, S., & Noraini, I., (2014). Statistics Education Research in
Malaysia and the Philippines: A Comparative Analysis. Statistics Education
Research Journal, 13(2), 218-231.
Rigdon, E.E. (2012). Rethinking partial least squares path modeling: In praise of
simple methods. Long Range Planning, 45(5-6), 341–358.
Rigdon, E.E. (2014). Rethinking partial least squares path modeling: Breaking chains
and forging ahead. Long Range Planning, 47(3), 161-167.
Ringle, C.M., Sarstedt, M., & Straub, D.W., (2012). Editor’s comments: a critical
look at the use of PLS-SEM in MIS quarterly. MIS Quarterly 36(1).
Rohani A.T, Maryam K., & Farzaneh S., (2015). Correlates of Mathematics attitude
and Problem Solving Behaviour among Tehran, Republic of Iran Year 10
Students. Jurnal Pendidikan Sains & Matematik, 5(1).
Royer, J.M. & Garofoli, L.M. (2005). Cognitive contributions to sex differences in
math performance. Gender differences in mathematics, 99-120.
Rozario G.D & Suhaimi M.T (2015). The influence of learning environment and
academic self-efficacy towards mathematics achievement in Masterskill global
college, Malaysia. International Journal of Arts and Commerce, 4 (2).
Rutter M. (1979). Fifteen Thousand Hours: Secondary schools and their effects on
children. Open Books.
Ryan Hannah (2013). The Effect of Classroom Environment on Student Learning.
Honors Theses. Paper 2375. Western Michigan University.
Sanoff, H. (2000). Community Participation Methods in Design and Planning. Wiley:
New York.
Santrock J.W. (2009). Educational psychology. New York, NY: McGraw Hill.
Sarstedt, M., Ringle, C.M., Henseler, J., & Hair, J.F. (2014). On the Emancipation of
PLS-SEM: A Commentary on Rigdon (2012). Long Range Planning, 47(3),
154-160.
Schraw G. (1998). Processing and recall differences among selective details. Journal
of Educational Psychology, 90(1), 3-12.
Schraw, G., & Dennison, R.S. (1994). The effect of reader purpose on interest and
recall. Journal of Reading Behavior,26(1), 1-18.
Secretary’s Commission on Achieving Necessary Skills. (1991). What work requires
of schools: A SCANS report for America 2000. Secretary's Commission on
Achieving Necessary Skills, US Department of Labor.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building
approach. John Wiley & Sons.
Shaw, V.F. (1996). The cognitive processes in informal reasoning. Thinking and
Reasoning, 2(1), 51-80.
Shmueli, G., & Koppius, O.R. (2010). Predictive analytics in information systems
research. MIS Quart, 553-572
Shukla, D., & Dungsungnoen, A.P. (2016). Student's Perceived Level and Teachers'
Teaching Strategies of Higher Order Thinking Skills: A Study on Higher
Educational Institutions in Thailand. Journal of Education and
Practice, 7(12), 211-219.
Sinclaire, J. (2011). Student satisfaction with online learning: Lessons from
organizational behaviour. Research in Higher Education Journal, 11, 1-18.
Sosik, J.J., Kahai, S.S., & Piovoso, M.J. (2009). Silver bullet or voodoo statistics?
A primer for using the partial least squares data analytic technique in group
and organization research. Organization Management, 34(1), 5-36.
Sparapani, E.F., (1998). Encouraging thinking in high school and middle school:
Constraints and possibilities. The Clearing House, 71(5), 274-276.
Spreng, R.A., Mackenzie, S.B., & Olshavsky, R.W. (1996). A Re-Examination of the
Determination of Consumer Satisfaction. Journal of Marketing, 60, 15-32.
Stajkovic, A.D., & Luthans, F. (2003). Social cognitive theory and self-efficacy:
Implications for motivation theory and practice. Motivation and work
behaviour, 126, 140.
Sternberg R.J., & Williams W.M. (2001). Educational Psychology. Boston, USA:
Allyn and Bacon.
Strange, C.C. & Banning, J.H. (2001). Educating by Design: Creating Campus
Learning Environments That Work. San Francisco: Jossey-Bass.
Straub, D. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2),
147-169.
Sweeney, J.C., & Ingram, D. (2001). A comparison of traditional and web--based
tutorials in marketing education: An exploratory study. Journal of Marketing
Education, 23(1), 55-62.
Tal, R., & Hochberg, N. (2003). Assessing high order thinking of learners
participating in the “WISE” project in Israel. Studies in Educational
Evaluation, 29(2), 69-89.
Tan, W.C., Aris, B., & Abu, M.S. (2006). GLOOTT Model: A pedagogically enriched
design framework of learning environment to improve higher order thinking
skills. AACE Journal, 14(2), 139-153.
Tanujaya, B. Mumu, J. & Margono, G. (2017). The Relationship between Higher
Order Thinking Skills and Academic Performance of Student in Mathematics
Instruction. International Education Studies, 10(11), 78.
Tanner. C.K. (2000). The influence of school architecture on academic
achievement. Journal of educational administration, 38(4), 309-330.
Tax, S.S., Brown, S.W. & Chandrashekaran, M. (1998). Customer evaluations of
service complaint experiences: implications for relationship marketing. The
journal of marketing, 60-76.
Tessmer, M., & Harris, D. (1992). Analyzing the instructional setting. Kogan Page
Limited.
Thurmond, V.A., Wambach, K., Connors, H.R., & Frey, B.B. (2002). Evaluation of
student satisfaction: Determining the impact of a web-based environment by
controlling for student characteristics. The American Journal of Distance
Education, 16(3), 169-189.
Trigwell, K., & Prosser, M. (1991). Improving the quality of student learning: the
influence of learning context and student approaches to learning on learning
outcomes. Higher education, 22(3), 251-266.
Troussier, B. (1999). Comparative study of two different kinds of school furniture
among children. Ergonomics, 42(3), 516-526.
Valerie, F. (2012). Re-discovering the PLS approach in management science.
Management, 15(1), 101-123.
Veal, W.R & Jackson, Z. (2006). Developing a primary science methods
classroom. International Journal of Science and Mathematics Education, 4(2),
195-213.
Velayutham, S., & Aldridge, J.M. (2012). Influence of psychosocial classroom
environment on students’ motivation and self-regulation in science learning: A
structural equation modeling approach. Research in Science Education, 43(2),
507-527.
Velayutham, S., Aldridge, J.M., & Fraser, B.J. (2011). Development and validation
of an instrument to measure students’ motivation and self-regulation in science
learning. International Journal of Science Education, 33(15), 2159-2179.
Vinita, A., & Hema, G. (2016). Effect of Interpersonal Intelligence Based Teaching
Strategies on Students Academic Achievement. The International Journal of
Indian Psychology, 3(4), 2349-3429.
Vinzi V.E., Chin W.W., Henseler J., & Wang H. (2010) Handbook of partial least
squares: Concepts, methods, and applications (23–46). Berlin: Springer
Walberg, H.J. (1981). A psychological theory of education productivity. In Farley,
F.H. & Gordons, N. (1981.), Psychology and Education: The State and the
Union. McCutchan Publishing Corporation.
Wanekezi, A.U., Iruloh, B.R. (2012). An Assessing Learning Environment for
Achieving Standard in Primary Education: Implication for Counselling for
Human Capacity Development. African Research Review, 6(2), 274-289.
Wayt, L.K., (2012). The Impact of Students’ Academic and Social Relationships on
College Student Persistence. Educational Administration.
Weinstein, C.S. (1979). The physical environment of the school: A review of the
research. Review of educational Research, 49(4), 577-610.
Weisberg, S., (2005). Applied linear regression (Vol. 528). John Wiley & Sons.
Weishen, W., Chang, H.P., & Guo, C.J. (2007). The development of an instrument for
a technology-integrated science learning environment. International Journal
of Science and Mathematics Education, 7(1), 207.
Wetzels, M., Gaby, O.S., & Claudia, V.O. (2009). Using PLS path modeling for
assessing hierarchical construct models: Guidelines and empirical illustration.
MIS Quarterly, 33(1), 177-195.
Wheeler, P. & Haertel, G. (1993). Resource Handbook on Performance Assessment
and Measurement: A Tool for Students, Practitioners, and Policymakers. Owl
Press.
Wheldall, K. & Lam, Y.Y. (1987). Rows versus Tables. II. The Effects of Two
Classroom Seating Arrangements on Classroom Disruption Rate, On? task
Behaviour and Teacher Behaviour in Three Special School
Classes. Educational Psychology, 7(4), 303-312.
Wilson, B., & Henseler, J., (2007). Modeling Reflective Higher Order Constructs
Using Three Approaches with PLS Path Modeling: A Monte Carlo Comparison. Australian and New Zealand Marketing Academy Conference,
Otago, Australia, 791-800.
Winberg, T.M., & Hedman, L. (2008). Student attitudes toward learning, level of preknowledge
and instruction type in a computer-simulation: effects on flow
experiences and perceived learning outcomes. Instructional Science, 36(4),
269-287.
Wold, H. (1985). Partial least squares. Encyclopaedia of statistical sciences. New
York: Wiley.
Wolf, S.J., & Fraser, B.J. (2008). Learning environment, attitudes and achievement
among middle-school science students using inquiry-based laboratory
activities. Research in science education, 38(3), 321-341.
Woolfolk A.E. (2004). Educational psychology. Boston: Pearson Education, Inc.
Wu, H., Tennyson, R.D., & Hsia, T. (2010). A study of student satisfaction in a
blended e-learning system environment. Computers & Education, 55(1), 155-
164.
Yee, M. H., Jailani, M. Y., Razali, H., Widad, O., & Tee, T. K. (2010). The
Perception of the Level of Higher Order Thinking Skills among Technical
Education Students. In International Conference on Social Science and
Humanity journal. Faculty of Technical Education, Universiti Tun Hussein
Onn Malaysia.
Yee, M. H., Widad, O., Jailani, M. Y., Tee, T. K., Razali, H., & Mimi Mohaffyza, M.
(2011). The Level of Marzano Higher Order Thinking Skills Among
Technical Education Students. International Journal of Social Science and
Humanity, 1(2), 121.
Yunos, J.M., Kiong, T.T., Heong, Y.M., Mohamad, M.M.B., Mohamad, B.B., &
Othman, W.B. (2010). The Level of Higher Order Thinking Skills for Lower
Secondary Students in Malaysia.
Zaidah, I. & Daliela, R. (2007). Predicting students’ academic performance:
comparing artificial neural network, decision tree and linear regression. In 21st
Annual SAS Malaysia Forum, 5th September.
Zainuddin, A. (2012). Research Methodology for Business and Social Science. Shah
Alam, Universiti Teknologi MARA Publication Centre (UiTM Press).
Zainudin, A. (2007). The influence of Service Quality and Corporate image on
Students’ Loyalty in Higher Education: The case study of a local
university. Unpublished PhD Thesis, Universiti Malaysia Terengganu,
Malaysia.
Zandvliet, D.B. (1999). The physical and psychosocial environment associated with
classrooms using new information technologies: a cross-national
study (Doctoral dissertation, Curtin University).
Zandvliet, D.B., & Fraser, B.J. (2005). Physical and psychosocial environments
associated with networked classrooms. Learning Environments
Research, 8(1), 1-17.
Zandvliet, D.B., & Straker, L.M. (2001). Physical and psychosocial aspects of the
learning environment in information technology rich
classrooms. Ergonomics, 44(9), 838-857.
Zan, R. & Martino, P. (2008). Attitude toward mathematics: Overcoming the
positive/negative dichotomy. The Montana Mathematics Enthusiast, 3, 157-
168.
Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths
and truths about mediation analysis. Journal of consumer research, 37(2),
197-206.
Zikmund, W.G. (2003). Sample designs and sampling procedures. Business research
methods, 7, 368-400.
Zohar, A., & Dori, Y.J. (2003). Higher order thinking skills and low-achieving
students: Are they mutually exclusive? The Journal of the Learning Sciences,
12(2), 145-181.