The influence of information systems on student satisfaction: A study of perceived ease of use and perceived usefulness
Nội dung chính của bài viết
Tóm tắt
Digital transformation in education has created opportunities for teaching methods to evolve through the application of new technology. The purpose of the study was to identify the factors that influence the satisfaction of university students with online learning. A survey was conducted on 609 students in Ho Chi Minh City, and the collected data was analyzed using the Partial Least Square Regression model. The study found that both system quality and information quality are crucial in determining the perceived ease of use and perceived usefulness of online learning systems. The results also revealed that perceived ease of use and usefulness positively impact students' overall satisfaction with online learning. The study recommends that educational institutions take these factors into account when designing online courses to meet learning objectives and ensure that students are satisfied with their learning experience.
Chi tiết bài viết
Từ khóa
System quality, Information quality, Perceived ease of use, Perceived usefulness, Online learning, Satisfaction
Tài liệu tham khảo
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Alkhawaja, M. I., Halim, M. S. A., Abumandil, M. S., & Al-Adwan, A. S. (2022). System quality and student's acceptance of the e-learning system: The Serial mediation of perceived usefulness and intention to use. Contemporary Educational Technology, 14(2), ep350. https://doi.org/10.30935/cedtech/11525
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Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
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Dung, T. K., & Thuy, T. T. (2020). Motivation, satisfaction, and intention to continue online learning: Applying uses and gratifications theory during the Covid-19 pandemic. Journal of Asian Business and Economic Studies, 1, 5–28.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304
Jeljeli, R., Farhi, F., Setoutah, S., & Laghouag, A. (2022). Microsoft teams’ acceptance for the e-learning purposes during Covid-19 outbreak: A case study of UAE. International Journal of Data and Network Science, 6(3), 629-640.
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Kim, Y., & Lee, H. S. (2014). Quality, perceived usefulness, user satisfaction, and intention to use: An empirical study of ubiquitous personal robot service. Asian Social Science, 10(11), 1–16. https://doi.org/10.5539/ass.v10n11p1
Kumar, Amit, & Mantri, A. (2022). Evaluating the attitude towards the intention to use ARITE system for improving laboratory skills by engineering educators. In Education and Information Technologies (Vol. 27, Issue 1). Education and Information Technologies. https://doi.org/10.1007/s10639-020-10420-z
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Machdar, N. M. (2016). The effect of information quality on perceived usefulness and perceived ease of use. Business and Entrepreneurial Review, 15(2), 131-146.
Mahande, R. D., Jasruddin, J., & Nasir, N. (2019). IS Success Model for EDMODO E-learning user satisfaction through TAM on students. Journal of Educational Science and Technology (EST), October, 140–152. https://doi.org/10.26858/est.v5i2.9575
Ohliati, J., & Abbas, B. S. (2019). Measuring student's satisfaction in using learning management system. International Journal of Emerging Technologies in Learning, 14(4). https://core.ac.uk/download/pdf/234939655.pdf
Kotler, P., & Armstrong, G. (2010). Principles of marketing. Pearson education.
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers and Education, 144(September 2019), 103701. https://doi.org/10.1016/j.compedu.2019.103701
Salloum, S. A., Qasim Mohammad Alhamad, A., Al-Emran, M., Abdel Monem, A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7, 128445–128462. https://doi.org/10.1109/ACCESS.2019.2939467
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing.
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253.
Soper, D. S. (2019). A-priori sample size calculator for structural equation models (Version 4.0)[Computer software]. Available on: https://www. danielsoper. com/statcalc.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/10.1287/isre.1050.0042
Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2020). A systematic review of social media acceptance from the perspective of educational and information systems theories and models. Journal of Educational Computing Research, 57(8), 2085–2109. https://doi.org/10.1177/0735633118817879
Alkhawaja, M. I., Halim, M. S. A., Abumandil, M. S., & Al-Adwan, A. S. (2022). System quality and student's acceptance of the e-learning system: The Serial mediation of perceived usefulness and intention to use. Contemporary Educational Technology, 14(2), ep350. https://doi.org/10.30935/cedtech/11525
Bansah, A. K., & Agyei, D. D. (2022). Perceived convenience, usefulness, effectiveness and user acceptance of information technology: evaluating students’ experiences of a learning management system. Technology, Pedagogy, and Education, 00(00), 1–19. https://doi.org/10.1080/1475939X.2022.2027267
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Dung, T. K., & Thuy, T. T. (2020). Motivation, satisfaction, and intention to continue online learning: Applying uses and gratifications theory during the Covid-19 pandemic. Journal of Asian Business and Economic Studies, 1, 5–28.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304
Jeljeli, R., Farhi, F., Setoutah, S., & Laghouag, A. (2022). Microsoft teams’ acceptance for the e-learning purposes during Covid-19 outbreak: A case study of UAE. International Journal of Data and Network Science, 6(3), 629-640.
Drennan, J., Kennedy, J., & Pisarski, A. (2005). Factors affecting student attitudes toward flexible online learning in management education. The Journal of Educational Research, 98(6), 331-338. https://doi.org/10.3200/JOER.98.6.331-338
Kim, Y., & Lee, H. S. (2014). Quality, perceived usefulness, user satisfaction, and intention to use: An empirical study of ubiquitous personal robot service. Asian Social Science, 10(11), 1–16. https://doi.org/10.5539/ass.v10n11p1
Kumar, Amit, & Mantri, A. (2022). Evaluating the attitude towards the intention to use ARITE system for improving laboratory skills by engineering educators. In Education and Information Technologies (Vol. 27, Issue 1). Education and Information Technologies. https://doi.org/10.1007/s10639-020-10420-z
Kumar, Anil, & Lata, S. (2021). The system quality and customer satisfaction with website quality as mediator in online purchasing: A developing country perspectives. Journal of Operations and Strategic Planning, 4(1), 7–26. https://doi.org/10.1177/2516600x21991945
Machdar, N. M. (2016). The effect of information quality on perceived usefulness and perceived ease of use. Business and Entrepreneurial Review, 15(2), 131-146.
Mahande, R. D., Jasruddin, J., & Nasir, N. (2019). IS Success Model for EDMODO E-learning user satisfaction through TAM on students. Journal of Educational Science and Technology (EST), October, 140–152. https://doi.org/10.26858/est.v5i2.9575
Ohliati, J., & Abbas, B. S. (2019). Measuring student's satisfaction in using learning management system. International Journal of Emerging Technologies in Learning, 14(4). https://core.ac.uk/download/pdf/234939655.pdf
Kotler, P., & Armstrong, G. (2010). Principles of marketing. Pearson education.
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers and Education, 144(September 2019), 103701. https://doi.org/10.1016/j.compedu.2019.103701
Salloum, S. A., Qasim Mohammad Alhamad, A., Al-Emran, M., Abdel Monem, A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7, 128445–128462. https://doi.org/10.1109/ACCESS.2019.2939467
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing.
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253.
Soper, D. S. (2019). A-priori sample size calculator for structural equation models (Version 4.0)[Computer software]. Available on: https://www. danielsoper. com/statcalc.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/10.1287/isre.1050.0042
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