A Study on the Impact of E-Service Quality in E-Learning Satisfaction
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: Thisstudy investigatesthe impact of e-learning service quality—specifically content, system, and service quality—on e-learning satisfaction. It further explores the mediating effects of perceived consistency and personalization in the relationship between e-service quality and learning satisfaction, as well as the moderating effects of online learning self-efficacy. Research design, data and methodology: A research model was developed based on previous studies, incorporating hypotheses about the relationships among elearning service quality (content, system, and service), perceived consistency, perceived personalization, online learning self-efficacy, and e-learning satisfaction. Data were collected through surveys administered to e-learning users. Statistical analyses, including regression and mediation/moderation tests, were performed to validate the hypotheses. The collected data were analyzed using Smart PLS and SPSS Macro version 3.5 to test the research model. Conclusion: The results revealed that e-service quality (content quality and service quality) significantly influences learning satisfaction. The mediating effects of perceived consistency and perceived personalization were partially significant. Furthermore, online learning self-efficacy was found to significantly moderate the relationship between content quality and learning satisfaction, emphasizing its critical role in enhancing user engagement and satisfaction.
Abstract
Purpose: Thisstudy investigatesthe impact of e-learning service quality—specifically content, system, and service quality—on e-learning satisfaction. It further explores the mediating effects of perceived consistency and personalization in the relationship between e-service quality and learning satisfaction, as well as the moderating effects of online learning self-efficacy. Research design, data and methodology: A research model was developed based on previous studies, incorporating hypotheses about the relationships among elearning service quality (content, system, and service), perceived consistency, perceived personalization, online learning self-efficacy, and e-learning satisfaction. Data were collected through surveys administered to e-learning users. Statistical analyses, including regression and mediation/moderation tests, were performed to validate the hypotheses. The collected data were analyzed using Smart PLS and SPSS Macro version 3.5 to test the research model. Conclusion: The results revealed that e-service quality (content quality and service quality) significantly influences learning satisfaction. The mediating effects of perceived consistency and perceived personalization were partially significant. Furthermore, online learning self-efficacy was found to significantly moderate the relationship between content quality and learning satisfaction, emphasizing its critical role in enhancing user engagement and satisfaction.
참고문헌 (34)
- Bandura, A., "Social foundations of thought and action : A social cognitive theory" (1986), Prentice Hall
- Barron, A., "The role of communication tools in e-learning environments", Journal of Distance Education, 15(2), pp.23~34 (2001)
- Chang, R., "Perceived effectiveness of information quality in digital education systems", Journal of Digital Learning, 10(1), pp.45~58 (2013)
- Clark, R. C., "E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning" (2003), Pfeiffer
- Cronin Jr., J. J, "Measuring Service Quality : A Reexamination and Extension", The Journal of Marketing, 56, pp.55~68 (1992)[DOI]
- Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)[DOI]
- DeLone, W. H., "The DeLone and McLean model of information systems success : A ten-year update", Journal of Management Information Systems, 19(4), pp.9~30 (2003)[DOI]
- DeLone, W. H., "Information systems success measurement", Foundations and Trends® in Information Systems, 2(1), pp.1~116 (2016)[DOI]
- Dogham, R. S., "Self-directed learning readiness and online learning selfefficacy among undergraduate nursing students", International Journal of Africa Nursing Science s, 17, pp.100490~ (2022)
- Fazlollahtabar, H., "E-learning in modern education systems", Journal of Advanced Education, 18(3), pp.112~125 (2012)
- Hair Jr, J. F., "A primer on partial least squares structural equation modeling (PLS-SEM)" (2021), Sage publications
- Hannum, W., "Web-based training : Advantages and challenges", Educational Technology Review, 10(2), pp.17~24 (2001)
- Jonassen, D., "Learning with technology: A constructivist perspective" (1999), Merrill
- Jun, M., "The impact of technology on modern education", Technology in Education Journal, 15(3), pp.28~36 (2001)
- Khan, B. H., "A framework for web-based learning" (2001), Educational Technology Publications
- Kotler, P., "Marketing management" (2015), Pearson Education
- Larasati, L., "Assessing the quality of elearning services in meeting student needs", Education and Information Technologies, 24(5), pp.2607~2619 (2019)[DOI]
- Lee, H. J., "Factors influencing system quality in online learning environments", Journal of Digital Education, 22(4), pp.123~135 (2020)
- Limbu, Y. B., "Impact of e-learning service quality on student satisfaction during the COVID-19pandemic : A systematic review", Knowledge Management & ELearning, 15(4), pp.319~340 (2023)
- Martínez-Argüelles, M., "How do students measure service quality in e-learning? A case study regarding an internet-based university", Computers &Education, 53(4), pp.1310~1316 (2009)[DOI]
- Moore, M., "Distance education : A systems view" (1996), Wadsworth
- Mulhem, A. A., "Exploring the Key Factors in the Use of an E-Learning System Among Students at King Faisal University, Saudi Arabia", International Journal of Interactive Mobile Technologies, 14(03), pp.19~ (2020)[DOI]
- Marandu, E., "Predicting Students’ Intention and Actual Use of E-Learning Using the Technology Acceptance Model: A Case from Zimbabwe", International Journal of Learning, Teaching and Educational Research, 18(6), pp.110~127 (2019)[DOI]
- Nugroho, A., "Assessing information quality in e-learning : Key metrics and implications", Online Learning Journal, 13(1), pp.87~102 (2019)
- Parasuraman, A., "SERVQUAL : A multiple-item scale for measuring consumer perceptions of service quality", Journal of Retailing, 64(1), pp.12~40 (1988)
- Parasuraman, A., "E-SQUAL : A multiple-item scale for assessing electronic service quality", Journal of Service Research, 7(3), pp.213~233 (2005)[DOI]
- Pham, L. T., "The influence of system, information, and service quality on e-learning satisfaction", Journal of Educational Research, 19(2), pp.87~101 (2019)
- Pintrich, P. R., "Motivational and selfregulated learning components of classroom academic performance", Journal of Educational Psychology, 82(1), pp.33~40 (1990)[DOI]
- Purwanto, E., "Determinants of elearning satisfaction : The role of service quality", Education and Technology Review, 12(3), pp.58~72 (2017)
- Romi Ilham, R., "Measuring user satisfaction through service quality in e-learning platforms", Journal of Online Education Studies, 14(2), pp.101~117 (2021)
- Si, J., "Critical e-learning quality factors affecting student satisfaction in a Korean medical school", Korean Journal of Medical Education, 34(2), pp.107~119 (2022)[DOI]
- Smart, K. L., "Students’ perceptions of online learning : A comparative study", Journal of Information Technology Education, 5, pp.201~219 (2006)[DOI]
- Tsai, M. -J., "The potential of elearning in higher education", Computers in Education, 60(1), pp.1~7 (2013)[DOI]
- Zimmerman, B. J., "Self-regulated learning and academic achievement : Theory, research, and practice" (1989), Springer
