TAM-Based Model for Evaluating Learner Satisfaction of E-Learning Services Case Study: E-Learning System of University of Tehran

Document Type : Original Article

Authors

1 Ph.D. of Industrial Management, University of Guilan, Rasht, Iran

2 BSc of Computer Engineering, University of Tehran, Kish, Iran

3 Professor of Engineering Science Faculty, University of Tehran, Tehran, Iran

4 Assistant Professor of Management Faculty, University of Guilan, Rasht, Iran

Abstract

During the COVID-19 pandemic, universities worldwide favored distance learning systems. Although e-learning provides numerous benefits, it also poses challenges for learners, so learners’ satisfaction is a significant concern to be assessed. The present study aimed to assess learners’ satisfaction with the University of Tehran's LMS during the pandemic. It applied a model based on the Technology Acceptance Model (TAM) and supplemented it with factor analysis. Research validity was assessed by using confirmatory factor analysis, while Cronbach's alpha was employed to measure the reliability of the research instrument. The study used the Partial Least Squares (PLS) analytical method to construct structural equations. In order to do so, data was collected from a comprehensive questionnaire distributed to 334 students at the University of Tehran, in which 143 participated. The findings reaffirmed the TAM's effectiveness in understanding the factors influencing learners’ satisfaction with the LMS. Consequently, these insights empower the technical team to enhance system functionality and infrastructure, aiming at improving service quality in the first semester of the academic year 2021. The Results showed that: 1) The TAM-based proposed scale has successfully explained factors predicting learners’ satisfaction. 2) Technical knowledge contributes to the perceived ease of use and influences perceived usefulness with a coefficient of 0.89, and 3) The significant relationships between technical knowledge and attitude were met. The paper's contribution is finding that learners’ technical knowledge significantly impacts their satisfaction, which helps the ICT team develop a user-friendly environment and increases the flexibility of templates. The study focused on creating training videos to improve learners’ technical knowledge. These results can change and improve the software development strategy for the next semester.

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References

  • Mayburd, "A public-private partnership for the express development of antiviral leads: a perspective view," Expert Opinion on Drug Discovery, vol. 16, no. 1, pp. 23-38, 2021.
  • M. MR, B. Rajakumar, D. Binu, and P. Ramesh, "Analysis on Quality of Learning in e-learning Platforms," International Journal of Engineering Education, vol. 3, no. 2, 2022.
  • Mseleku, "A literature review of E-learning and E-teaching in the era of Covid-19 pandemic," ed: Sage Los Angeles, CA, USA:, 2020.
  • E. Baticulon et al., "Barriers to online learning in the time of COVID-19: A national survey of medical students in the Philippines," Medical science educator, vol. 31, pp. 615-626, 2021.
  • 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.
  • -L. Chang and M. Fang, "E-Learning and online instructions of higher education during the 2019 novel coronavirus diseases (COVID-19) epidemic," in Journal of Physics: Conference Series, 2020, vol. 1574, no. 1: IOP Publishing, p. 012166.
  • J. Shayegan and A. Ashoori, "Evaluating Success of E-Learning in Different Faculties of a University," International Journal of Web Research, vol. 5, no. 2, pp. 61-69, 2022.
  • Sukendro et al., "Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context," Heliyon, vol. 6, no. 11, 2020.
  • M. Al-Smadi, A. Abugabah, and A. Al Smadi, "Evaluation of E-learning Experience in the Light of the Covid-19 in Higher Education," Procedia Computer Science, vol. 201, pp. 383-389, 2022.
  • Wagiran, S. Suharjana, M. Nurtanto, and F. Mutohhari, "Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic," Heliyon, vol. 8, no. 10, 2022.
  • O. Alassafi, "E-learning intention material using TAM: A case study," Materials Today: Proceedings, vol. 61, pp. 873-877, 2022.
  • Baber, "Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea," The International Journal of Management Education, vol. 19, no. 2, p. 100503, 2021.
  • Wotto, "The future high education distance learning in Canada, the United States, and France: Insights from before COVID-19 secondary data analysis," Journal of Educational Technology Systems, vol. 49, no. 2, pp. 262-281, 2020.
  • Ahmad and H. Halim, "Determining sample size for research activities," Selangor Business Review, pp. 20-34, 2017.
  • C. Higgins and J. W. Kotrlik, "Selecting an Appropriate Sample Size for Conducting Survey Research," in TITLE Delta Pi Epsilon National Conference. Book of Readings (Nashville, Tennessee, November 15-17, 2001). INSTITUTION Delta Pi Epsilon Society, Little Rock, AR.: ERIC, p. 136.
  • Hill, "What sample size is “enough” in internet survey research," Interpersonal Computing and Technology: An electronic journal for the 21st century, vol. 6, no. 3-4, pp. 1-12, 1998.
  • Andarwati, D. Zuhroh, and F. Amrullah, "End user satisfaction of accounting information system (AIS) mobile based for small medium enterprises (SMEs): Actual usage and TAM approach," Journal of Development Research, vol. 3, no. 2, pp. 37-42, 2019.
  • a. Sholikah and S. Sutirman, "How Technology Acceptance Model TAM) Factors of Electronic Learning Influence Education Service Quality through Students' Satisfaction," TEM Journal, vol. 9, no. 3, p. 1221, 2020.
  • Almanthari, S. Maulina, and S. Bruce, "Secondary School Mathematics Teachers' Views on E-Learning Implementation Barriers during the COVID-19 Pandemic: The Case of Indonesia," Eurasia journal of mathematics, science and technology education, vol. 16, no. 7, 2020.
  • F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, "When to use and how to report the results of PLS-SEM," European business review, vol. 31, no. 1, pp. 2-24, 2019.

 

International Journal of Web Research
Volume 6, Issue 1
June 2023
Pages 105-112

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