UPSI Digital Repository (UDRep)
Start | FAQ | About
Menu Icon

QR Code Link :

Type :article
Subject :Q Science (General)
ISSN :2010-3689
Main Author :Shazlyn Milleana Shaharudin
Additional Authors :Rajoo, Murugan
Rawdah Adawiyah Tarmizi
Title :Mapping of students’ academic performance in online learning environment during pandemic using multiple correspondence analysis
Place of Production :Tanjung Malim
Publisher :Fakulti Sains dan Matematik
Year of Publication :2023
Notes :International Journal of Information and Education Technology
Corporate Name :Universiti Pendidikan Sultan Idris
HTTP Link :Click to view web link

Abstract : Universiti Pendidikan Sultan Idris
The virtual and digital learning process seems to hugely impact academic achievement due to the COVID-19 outbreak, globally. Thus, improving student performance is one of the important focuses of educational management. Mapping students actual conditions is a mandatory requirement before designing the performance improvement program. Therefore, this study proposed a statistical investigation to map out students performance and the problems they encountered during online learning using Multiple Correspondence Analysis (MCA), revealing the hidden pattern and classifying students based on their demographics (programs, CGPA, and origin) and learning environments. The data samples consist of 234 undergraduate students in the Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris (UPSI). The study findings formed from two different profiles where each profile has its respective categories. The study found that the students of the Bachelor of Education (Mathematics) with Honour, categorized as smart students, preferred to study face-to-face because of poor internet connection from using mobile data. On the other hand, the students of the Bachelor of Science (Mathematics) with Education, who were categorized as average students, had no difficulty continuing either synchronous or asynchronous online learning in the future because of stable internet access using their home Wi-Fi connection. Moreover, the preference made was also due to family interruption issues. 2023 by the authors.

References

M. F. Zulfikri, S. M. Shaharudin, N. A. A. Rajak, and M. S. B. Ibrahim, ―Predictive analytics on academic performance in higher education institution during COVID-19 using regression model,‖ International Journal of Biology and Biomedical Engineering, 2021.

A. Pragholapati, ―COVID-19 impact on students,‖ EdArXiv [Preprint], 2020, pp. 1–6, doi:10.35542/osf.io/895ed

V. Gewin, ―Five tips for moving teaching online as COVID-19 takes hold,‖ Nature, vol. 580, no. 7802, pp. 295-296, 2020.

M. F. M. Fuad, S. M. Shaharudin, S. Ismail, N. A. M. Samsudin, and M. F. Zulfikri, ―Comparison of singular spectrum analysis forecasting algorithms for student’s academic performance during COVID-19 outbreak,‖ International Journal of Advanced Technology and Engineering Exploration, vol. 8, no.74, pp. 178-189, 2021.

A. Nguyen, ―The impact of online learning activities on student learning outcome in blended learning course,‖ Journal of Information & Knowledge Management, vol. 16, 2017.

M. Suryaman, Y. Cahyono, D. Muliansyah, O. Bustani, P. Suryani, M. Fahlevi, and A. P. Munthe, ―COVID-19 pandemic and home online learning system: Does it affect the quality of pharmacy school learning?‖ Systematic Reviews in Pharmacy, vol. 11, pp. 524–530, 2020.

N. Kapasia, P. Paul, A. Roy, J. Saha, A. Zaveri, R. Mallick, and P. Chouhan, ―Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal,‖ Indian Children and Youth Services Review, vol. 116, no. 1, p. 105194, 2020.

I. Mushtaq and S. N. Khan, ―Factors affecting students’ academic performance,‖ Global Journals Inc. (USA), vol. 12, issue 9, June 2012.

E. Shahzadi and Z. Ahamad, ―A Study on academic performance of university,‖ in Proc. 8th International Conference on Recent Advances in Statistics, Lahore, Pakistan, vol. 255-268, 2011.

S. A. Farooq and T. H. Abdulrazzaq, ―Factors affecting students academic performance: A case study of Sohar University,‖ Psychology and Education, vol. 58, no. 5, pp. 4624-4635, 2021.

O. B. Adedoyin and E. Soykan, ―Covid-19 pandemic and online learning: The challenges and opportunities,‖ Interactive Learning Environments, 2020.

A. Islam and S. Tasnim, ―An analysis of factors influencing academic performance of undergraduate students: A case study of Rabindra University, Bangladesh,‖ International Journal of Education, vol. 9, no. 3, pp. 127-135, 2021.

R. M. Renato and A. B. Melvin, ―Classification of learning styles in virtual learning environment using J48 decision tree,‖ in Proc. 14th International Conference on Cognition and Exploratory Learning in Digital Age, 2017.

K. Varun and C. Anupama, ―An empirical study of the applications of data mining techniques in higher education,‖ International Journal of Advanced Computer Science and Applications, vol. 2, no. 3, 2011.

A. P. A. Harwati and A. W. Febriana, ―Mapping students’ academic performance based on data mining approach (a case study),‖ in Proc. The 2014 International Conference on Agro-industry (ICoA): Competitive and Sustainable Agroindustry for Human Welfare. Agriculture and Agricultural Science Procedia 3, 2015, pp. 173-177.

K. A. Goggins, E. Bruce, W. Oddson, L. Brent, and R. E. Tammy. ―Anatomical locations for capturing magnitude differences in foot-transmitted vibration exposure, determined using multiple correspondence analysis,‖ Theoretical Issues in Ergonomics Science, 2020, pp. 1-15.

M. Nilavani and A. J. Khairul, ―Impact and challenges of implementation current online teaching and learning movement control order,‖ Jurnal Dunia Pendidikan, vol. 3, no. 4, pp. 104-115, 2021.

P. Leszczyński, A. Charuta, B. Łaziuk, R. Gałązkowski, A. Wejnarski, M. Roszak, and B. Kołodziejczak, ―Multimedia and interactivity in distance learning of resuscitation guidelines: A randomised controlled trial,‖ Interactive Learning Environments, vol. 26, no. 2, pp. 151- 162, 2018.

S. M. C. M. Nor, S. M. Shaharudin, S. Ismail, S. A. M. Najib, M. L. Tan, and N. Ahmad, ―Statistical modelling of RPCA-FCM in spatiotemporal rainfall patterns recognition,‖ Atmosphere, vol. 13, p. 145, 2022.

A. Dawit, Z. Temesgen, and M. Henry, ―Multiple correspondence analysis as a tool for analysis of large health surveys in African settings,‖ School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, Private Bag X01, Scottsville 3209, South Africa, 2014.

S. Das and X. Sun, ―Association knowledge for fatal run-off-road crashes by multiple correspondence analysis,‖ IATSS Research, vol. 39, no. 2, pp. 146-155, 2016

R. E. Ogunsakin, M. Sibusiso, O. Oludayo, and I. Connie, ―Relating student engagement indicators to academic performance using multiple correspondence analysis,‖ Cybernetics and Information Technologies, vol. 21, no. 1, 2021.

M. Jalayer, M. Pour-Rouholamin, and H. Zhou, ―Wrong way driving crashes: A multiple correspondence approach to identify contributing factors,‖ Traffic Injury Prevention, vol. 19, no. 1, pp. 35-41, 2018.

E. Aboagye, J. A. Yawson, and K. N. Appiah, ―COVID-19 and e-learning: The challenges of students in a tertiary institution,‖ Social Education Research, vol. 2, no. 1, pp. 1-8, 2021.

T. J. G. Chase, A. Julius, J. S. Chandan, E. Powell, C. S. Hall, B. L. Phillips, R. Burnett, D. Gill, and B. Fernando, ―Mobile learning in medicine: An evaluation of attitudes and behaviors of medical students,‖ BMC Medical Education, vol. 18, no. 152, pp. 1-8, 2018.

E. Chung, G. Subramaniam and L. D. Dass, ―Online learning readiness among university students in Malaysia amidst COVID-19,‖ Asian Journal of University Education, vol. 16, no. 2, pp. 46-58, 2022.

A. R. Lorenzo, ―Comparative study on the performance of Bachelor of Secondary Education (BSE) students in educational technology using blended learning strategy and traditional face-to-face instruction,‖ Turkish Online Journal of Educational Technology, vol. 16, no. 3, 36-46, 2017.

Internet Still Not Available to Many. (2020). The Sun Daily. [Online]. Available: https://www.thesundaily.my/local/internet-still-not-available-to-many-II4974758

J. G. Swan, ―The challenges of online learning supporting and engaging the isolated learner,‖ Journal of Learning Design, vol. 10, no. 1, pp. 20-30, 2017.

J. Crawford, K. Butler-Henderson, J. Rudolph, and M. Glowatz, ―COVID-19: 20 countries' higher education intra-period digital pedagogy responses,‖ Journal of Applied Teaching and Learning, vol.3, no. 1, 2020.

C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond. (2020). The difference between emergency remote teaching and online learning. EDUCAUSE Review. [Online]. Available: https://er.educause.edu/articles/2020/3/the-difference-between-emerge ncy-remote-teaching-and-online-learning


This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to previous page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries, kindly contact us at pustakasys@upsi.edu.my or 016-3630263. Office hours only.