DOI QR코드

DOI QR Code

Assessing the Success rate of e-Learning Systems Aadoption in Saudi Higher Education Institutions during COVID-19 Pandemic: Student Perspective

  • Aljuhani, Nouf (Information Systems Department, King Abdulaziz University) ;
  • Matar, Zinah (Information Systems Department, King Abdulaziz University) ;
  • Alzahrani, Asma (Information Systems Department, King Abdulaziz University) ;
  • Saeedi, Kawther (Information Systems Department, King Abdulaziz University) ;
  • Badri, Sahar (Information Systems Department, King Abdulaziz University) ;
  • Fakieh, Bahjat (Information Systems Department, King Abdulaziz University)
  • Received : 2022.03.05
  • Published : 2022.03.30

Abstract

In response to the significant COVID-19 outbreak, countries have enforced the use of E-learning systems as an alternative to traditional learning; to contain the virus and minimize the infection rate while maintaining the continuity of the learning experience. However, the effective adoption of E-learning systems requires a well-understanding of critical factors, especially in times of crisis. In this regard, this study intends to assess the success of the E-learning system adoption by Higher Education Institutions (HEIs) during the crisis of COVID-19 by utilizing the Information Systems Success (ISS) model. This study's adopted model consists of nine interdependent dimensions, namely: Technical System Quality, Information Quality, Service Quality, Learner Quality, Perceived Satisfaction, Perceived Usefulness, System Use, Intention to Use, and System Success. An electronic survey was distributed among higher education students from different universities in Saudi Arabia to explore each model's dimension. Structural Equation Modeling (SEM) has been applied via SmartPLS software to test the causal relationships between dimensions. This study's main results revealed that students' Service Quality, Learner Quality, and the Intention to Use by students are essential drives for E-learning System Use during the Covid-19 pandemic. Meanwhile, the Intention to Use the system is significantly influenced by Perceived Satisfaction and Perceived Usefulness dimensions. Further, Perceived Satisfaction, Perceived Usefulness, and System Use are interdependent, and all three have a significant positive impact on E-learning System Success.

Keywords

References

  1. WHO. (2020). Archived: World Health Orgnization Timeline - COVID-19. Available: https://www.who.int/news-room/detail/27-04-2020-who-timeline---covid-19
  2. UNESCO. (2020). Education: From disruption to recovery. Available: https://en.unesco.org/covid19/educationresponse
  3. A. Baiyere and H. Li, "Application of a Virtual Collaborative Environment in a Teaching Case," 2016.
  4. T. A. Urdan and C. C. Weggen, "Corporate elearning: Exploring a new frontier," 2000.
  5. I. Blagoev, G. Vassileva, and V. Monov, "A Model for e-Learning Based on the Knowledge of Learners," Cybernetics and Information Technologies, vol. 21, no. 2, pp. 121-135, 2021. https://doi.org/10.2478/cait-2021-0023
  6. N. Kapasia et al., "Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India," Children and Youth Services Review, vol. 116, p. 105194, 2020. https://doi.org/10.1016/j.childyouth.2020.105194
  7. G. M. A. E.-H. Diab and N. F. Elgahsh, "E-learning During COVID-19 Pandemic: Obstacles Faced Nursing Students and Its Effect on Their Attitudes While Applying It," American Journal of Nursing, vol. 9, no. 4, pp. 300-314, 2020. https://doi.org/10.11648/j.ajns.20200904.33
  8. S. Ozkan and R. Koseler, "Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation," Computers & Education, vol. 53, no. 4, pp. 1285-1296, 2009. https://doi.org/10.1016/j.compedu.2009.06.011
  9. E. Islas, M. Perez, G. Rodriguez, I. Paredes, I. Avila, and M. Mendoza, "E-learning tools evaluation and roadmap development for an electrical utility," Journal of Theoretical and Applied Electronic Commerce Research, vol. 2, no. 1, pp. 63-75, 2007. https://doi.org/10.3390/jtaer2010006
  10. D. Al-Fraihat, M. Joy, R. e. Masa'deh, and J. Sinclair, "Evaluating E-learning systems success: An empirical study," Computers in Human Behavior, vol. 102, pp. 67-86, 2020/01/01/ 2020. https://doi.org/10.1016/j.chb.2019.08.004
  11. G. Chopra, P. Madan, P. Jaisingh, and P. Bhaskar, "Effectiveness of e-learning portal from students' perspective," Interactive Technology and Smart Education, 2019.
  12. D. E. Douglas and G. Van Der Vyver, "Effectiveness of e-learning course materials for learning database management systems: An experimental investigation," Journal of Computer Information Systems, vol. 44, no. 4, pp. 41-48, 2004.
  13. A. A. Drozdova and A. I. Guseva, "Modern Technologies of E-learning and its Evaluation of Efficiency," Procedia-Social and Behavioral Sciences, vol. 237, pp. 1032-1038, 2017. https://doi.org/10.1016/j.sbspro.2017.02.147
  14. S. S. Noesgaard and R. Orngreen, "The Effectiveness of E-Learning: An Explorative and Integrative Review of the Definitions, Methodologies and Factors that Promote e-Learning Effectiveness," Electronic Journal of E-learning, vol. 13, no. 4, pp. 278-290, 2015.
  15. R. Raga and M. R. Rodavia, "Perceptions and utilization of a learning management system: an analysis from two perspectives," 2018 pp. 33-37: IEEE.
  16. A. Merzouk, P. Kurosinski, and K. Kostikas, "e-Learning for the medical team: the present and future of ERS Learning Resources," Breathe, vol. 10, no. 4, pp. 296-304, 2014. https://doi.org/10.1183/20734735.008814
  17. K. Fry, "Forum focus and Overview," The Business of E-Learning: Bringing your Organisation in the Knowledge E-conomy, Telcam Group, University of Technology, Sydney, 2000.
  18. A. Chaubey and B. Bhattacharya, "Learning management system in Higher education," IJSTE-International Journal of Science Technology & Engineering, vol. 2, no. 3, 2015.
  19. S. A. Salloum, M. Al-Emran, K. Shaalan, and A. Tarhini, "Factors affecting the E-learning acceptance: A case study from UAE," Education and Information Technologies, vol. 24, no. 1, pp. 509-530, 2019. https://doi.org/10.1007/s10639-018-9786-3
  20. W. Delone and E. McLean, "The DeLone and McLean Model of Information Systems Success: A Ten-Year Update," J. of Management Information Systems, vol. 19, pp. 9-30, 04/01 2003. https://doi.org/10.1080/07421222.2003.11045748
  21. P. Seddon and M.-Y. Kiew, "A Partial Test and Development of Delone and Mclean's Model of IS Success," Australasian Journal of Information Systems; Vol 4, No 1 (1996), vol. 4, 01/01 1994.
  22. P. Lowry, G. Karuga, and V. Richardson, "Assessing Leading Institutions, Faculty, and Articles in Premier Information Systems Research Journals," Communications of the Association for Information Systems, vol. 20, pp. 142-203, 10/18 2007.
  23. N. Urbach, S. Smolnik, and G. Riempp, "The State of Research on Information Systems Success - A Review of Existing Multidimensional Approaches," Business & Information Systems Engineering, vol. 1, pp. 315-325, 08/01 2009. https://doi.org/10.1007/s12599-009-0059-y
  24. L. F. Pitt, R. T. Watson, and C. B. Kavan, "Service quality: a measure of information systems effectiveness," MIS quarterly, pp. 173-187, 1995.
  25. S. Petter, W. Delone, and E. McLean, "Measuring information systems success: Models, dimensions, measures, and interrelationships," EJIS, vol. 17, pp. 236-263, 06/01 2008.
  26. J. S. Mtebe and R. Raisamo, "A Model for Assessing Learning Management System Success in Higher Education in Sub-Saharan Countries," The Electronic Journal of Information Systems in Developing Countries, vol. 61, no. 1, pp. 1-17, 2014.
  27. R. Freeze, K. Alshare, P. Lane, and J. Wen, "IS Success Model in E-Learning Context Based on Students' Perceptions," Journal of Information Systems Education, vol. 21, 01/01 2010.
  28. Y.-M. Cheng, "Effects of quality antecedents on e-learning acceptance," Internet Research: Electronic Networking Applications and Policy, vol. 22, 06/01 2012.
  29. C.-C. Chang, "Exploring the determinants of e-learning systems continuance intention in academic libraries," Library Management, vol. 34, 01/11 2013.
  30. M. Nugroho, D. Setyorini, and B. Novitasari, "The Role of Satisfaction on Perceived Value and E-Learning Usage Continuity Relationship," Procedia Computer Science, vol. 161, pp. 82-89, 01/01 2019. https://doi.org/10.1016/j.procs.2019.11.102
  31. M. Aparicio, F. Bacao, and T. Oliveira, "Cultural impacts on e-learning systems' success," The Internet and Higher Education, vol. 31, pp. 58-70, 06/01 2016. https://doi.org/10.1016/j.iheduc.2016.06.003
  32. A. Shahzad, R. Hassan, A. Aremu, A. Hussain, and R. Lodhi, "Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female," Quality & Quantity, 08/04 2020.
  33. M. N. Yakubu and S. Dasuki, "Assessing eLearning systems success in Nigeria: An application of the DeLone and McLean information systems success model," Journal of Information Technology Education: Research, vol. 17, pp. 183-203, 2018. https://doi.org/10.28945/4077
  34. O. Efiloglu Kurt, "Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy," Education and Information Technologies, vol. 24, 03/01 2019.
  35. L. Pham, Y. Limbu, T. Bui, H. Nguyen, and H. Pham, "Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam," vol. 16, pp. 1-26, 03/08 2019.
  36. U. Marjanovic, M. Delic, and B. Lalic, "Developing a model to assess the success of e-learning systems: evidence from a manufacturing company in transitional economy," Information Systems and e-Business Management, vol. 14, no. 2, pp. 253-272, 2016.
  37. H. Alshibly, "An empirical investigation into factors influencing the intention to use e-learning system: An extended technology acceptance model," Current Journal of Applied Science and Technology, pp. 2440-2457, 2014.
  38. E. Lwoga, "Critical success factors for adoption of web-based learning management systems in Tanzania," International Journal of Education and Development using ICT, vol. 10, no. 1, 2014.
  39. A. Jeyaraj, "DeLone & McLean models of information system success: Critical meta-review and research directions," International Journal of Information Management, vol. 54, p. 102139, 2020. https://doi.org/10.1016/j.ijinfomgt.2020.102139
  40. C. Lai, Q. Wang, and J. Lei, "What factors predict undergraduate students' use of technology for learning? A case from Hong Kong," Computers & Education, vol. 59, no. 2, pp. 569-579, 2012. https://doi.org/10.1016/j.compedu.2012.03.006
  41. E. Straub, "Understanding Technology Adoption: Theory and Future Directions for Informal Learning," Review of Educational Research, vol. 79, pp. 625 - 649, 2009. https://doi.org/10.3102/0034654308325896
  42. N. Sandjojo and T. Wahyuningrum, "Measuring e-learning systems success: Implementing D & M is success model," 2015, pp. 1-6: IEEE.
  43. H. Mohammadi, "Investigating users' perspectives on e-learning: An integration of TAM and IS success model," Computers in human behavior, vol. 45, pp. 359-374, 2015. https://doi.org/10.1016/j.chb.2014.07.044
  44. W. Cidral, T. Oliveira, M. Felice, and M. Aparicio, "E-learning success determinants: Brazilian empirical study," Computers & Education, vol. 122, pp. 273-290, 07/01 2018. https://doi.org/10.1016/j.compedu.2017.12.001
  45. A. Hassanzadeh, F. Kanaani, and S. Elahi, "A model for measuring e-learning systems success in universities," Expert Systems with Applications, vol. 39, no. 12, pp. 10959-10966, 2012. https://doi.org/10.1016/j.eswa.2012.03.028
  46. A. Aldiab, H. Chowdhury, A. Kootsookos, F. Alam, and H. Allhibi, "Utilization of Learning Management Systems (LMSs) in higher education system: A case review for Saudi Arabia," Energy Procedia, vol. 160, pp. 731-737, 2019. https://doi.org/10.1016/j.egypro.2019.02.186
  47. I. Etikan, S. A. Musa, and R. S. Alkassim, "Comparison of convenience sampling and purposive sampling," American journal of theoretical and applied statistics, vol. 5, no. 1, pp. 1-4, 2016. https://doi.org/10.11648/j.ajtas.20160501.11
  48. H. Taherdoost, "Sampling methods in research methodology; how to choose a sampling technique for research," How to Choose a Sampling Technique for Research (April 10, 2016), 2016.
  49. J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications, 2016.
  50. N. Urbach and F. Ahlemann, "Structural equation modeling in information systems research using Partial Least Squares," Journal of Information Technology Theory and Application, vol. 11, 01/01 2010.
  51. C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of marketing research, vol. 18, no. 1, pp. 39-50, 1981. https://doi.org/10.2307/3151312
  52. M. Tenenhaus, V. E. Vinzi, Y.-M. Chatelin, and C. Lauro, "PLS path modeling," Computational statistics & data analysis, vol. 48, no. 1, pp. 159-205, 2005. https://doi.org/10.1016/j.csda.2004.03.005
  53. W. W. Chin, "The partial least squares approach to structural equation modeling," Modern methods for business research, vol. 295, no. 2, pp. 295-336, 1998.
  54. J. Cohen, Statistical power analysis for the behavioral sciences. Academic press, 2013.
  55. S. Geisser, "A predictive approach to the random effect model," Biometrika, vol. 61, no. 1, pp. 101-107, 1974. https://doi.org/10.1093/biomet/61.1.101
  56. J. Henseler, G. Hubona, and P. Ray, "Using PLS Path Modeling in New Technology Research: Updated Guidelines," Industrial Management & Data Systems, vol. 116, pp. 2-20, 02/01 2016. https://doi.org/10.1108/IMDS-09-2015-0382
  57. P. Bentler and D. Bonett, "Significance Tests and Goodness-of-Fit in Analysis of Covariance Structures," Psychological Bulletin, vol. 88, pp. 588-606, 11/01 1980. https://doi.org/10.1037/0033-2909.88.3.588
  58. M. Wetzels, G. Odekerken-Schroder, and C. Van Oppen, "Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration," MIS quarterly, pp. 177-195, 2009.
  59. W. Chin, "Handbook of Partial Least Squares," 2010, pp. 655-690.
  60. M. Khasawneh and A. Bani Yaseen, "Critical Success Factors for E-Learning Satisfaction, Jordanian Universities' Experience," Journal of Business & Management, vol. 5, pp. 56-69, 01/01 2017.
  61. P.-C. Sun, R. Tsai, G. Finger, Y.-Y. Chen, and D. Yeh, "What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction," Computers & Education, vol. 50, pp. 1183-1202, 05/01 2008. https://doi.org/10.1016/j.compedu.2006.11.007