Pearson correlation coefficient of the student perception and challenges towards open and distance learning during COVID-19

  • Wan Noor Hayatie Wan Abdul Aziz
  • Nurhasniza Idham Abu Hasan
  • Mohd Hafiz Mohammad Hamzah
  • Rossidah Wan Abdul Aziz


COVID-19 pandemic has a huge change in worldwide education. Previous face to face method of learning have been change to open and distance learning. This study investigated students’ perceptions and challenge of Open and Distance Learning (ODL) during COVID19 in Institution of Higher Learning (IHL). Data were collected from 141 online students of IHL using Google Form. The independent sample t-test used to compare the mean of student perception and students challenges among sociodemographic. Meanwhile the Pearson correlation coefficient is also used to identify the relationship between the overall score of student perception and student challenges. As a result, the research revealed that there are significant moderate negative associations between students’ perception and students challenge.


[1] J. Crawford, K. B. Henderson, J. Rudolph, B. Malkawi, M. Glowatz, R. Burton, P. A. Magni, and S. Lam, “COVID-19: 20 countries’ higher education intra-period digital pedagogy responses,” Journal of Applied Learning & Teaching, vol. 3, no. 1, pp. 9-28, 2020.
[2] C. Rapanta, L. Botturi, P. Goodyear, L. Guardia, and M. Koole, “Online University Teaching During and After the Covid-19 Crisis: Refocusing Teacher Presence and Learning Activity,” Postdigital Science Education, 2020.
[3] W. Bao, “COVID-19 and online teaching in higher education: A case study of Peking University,” Hum Behav & Emerg Tech, vol. 2, pp.113–115, 2020.
[4] C. Cronin, “Openess and praxis: Exploring the use of open educational practises in higher education”, International Review of Research in Open and Distance Learning, vol. 18, no.5, pp. 15-34, 2017.
[5] A. Tlili, M. Jemni, M. K. Khribi, R. Huang, T. W. Chang and D. Liu, “Current state of open educational resources in the Arab region: an investigation in 22 countries, Smart Learn. Environ., vol. 7, no. 11, 2020.
[6] E. Doraenodono, F. E. Siagian, M. Alfarabi, J. M. Cing, E. S. Arodes, R. H. Sirait, T. Surwoyati, L. S. Sunarti, L. N. Ahmad, M. Wiyanto, L. Kurniaty, R. S. Hutabarat, “The impact of COVID-19 on medical education: our students perception on the practice of long distance learning”, International Journal of Community Medicine and Public Health, vol. 7, no. 7, pp. 2790-2796, 2020.
[7] F. Martin, B. Stamper, and C. Flowers, “Examining Students Perception of Readiness for Online Learning: Importance and Confidence,” Online Learning Journal, vol. 24, no. 2, pp. 38-58, 2020.
[8] S.D. Thompson and A. Muir, “A case study investigation of academic library support for open educational resources in Scottish universities,” Journal of Librarianship and Information Science, vol. 52, no. 3, pp. 685-693, 2020.
[9] E. Molina, S. F. Fatima, A. D. Ho, C. Melo, T. M. Willichowski, A. Pushparatnam, "Measuring the quality of teaching practices in primary schools: Assessing the validity of the Teach observation tool in Punjab, Pakistan,” Teaching and Teacher Education, vol. 96, pp. 103171, 2020.
[10] J. Moon, J. Do, D. Lee and G. W. Choi, “A conceptual framework for teaching computational thinking in personalized OERs,” Smart Learning Environments, vol. 7, no. 1, art. no. 6, 2020
[11] Z. Awang, “Research Methodology for Business and Social Science,” University Publication Centre (UPENA), UiTM Shah Alam, 2010.
[12] K. I. E. C Kaliyaperumal, “Guideline for conducting a knowledge, attitude and practice (KAP) study,” AECS illumination, vol. 4, no. 1, pp. 7-9, 2014.
[13] S.A. Latif, M.S. Omar, Y.H. Bidin and Z. Awang, “Analyzing the Effect of Situational Factor on Recycling Behaviour in Determining the Quality of Life,” Journal of Asian Behavioural Studies, vol 3, no. 8, pp. 11 – 17, 2013.
[14] H.F. Kaiser, “An index of factorial simplicity,” Psychometrika, vol. 39, pp. 31-36, 1974
[15] L. Hatcher, “A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling,” SAS Institute Inc., Cary, NC, 1994.
[16] Nunnally JC, “Psychometric theory,” McGraw-Hill, 1978.
[17] A. A. Azlan, M. R. Hamzah, T. J. Sern, S. H. Ayub, E. Mohamad, “Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia,” PLoS ONE, vol. 15, no. 5, 2020.
How to Cite
WAN ABDUL AZIZ, Wan Noor Hayatie et al. Pearson correlation coefficient of the student perception and challenges towards open and distance learning during COVID-19. Mathematical Sciences and Informatics Journal, [S.l.], v. 1, n. 1, p. 96-103, aug. 2020. ISSN 2735-0703. Available at: <>. Date accessed: 21 may 2024. doi:

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