What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction

Perceived usefulness, perceived ease of use, and user acceptance of information technology

Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works

A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions

Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494 · see citing works

Understanding Information Systems Continuance: An Expectation-Confirmation Model1

Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works

Attitude-behavior relations: A theoretical analysis and review of empirical research

Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611 · see citing works

Extrinsic and Intrinsic Motivation to Use Computers in the Workplace ¹

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · see citing works

Evaluating E-learning systems success: An empirical study

Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.004 · Cited by 1,350 · see citing works

The acceptance and use of a virtual learning environment in China

van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940 · see citing works

The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis

Liu, Q., Peng, W., Zhang, F., Hu, R., Li, Y., & Yan, W. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4807 · Cited by 691 · see citing works

How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach

Ai-Lim Lee, E., Wong, K. W., & Fung, C. C. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.06.006 · Cited by 580 · see citing works

User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model

Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565 · see citing works

Online learning performance and satisfaction: do perceptions and readiness matter?

Wei, H.-C., & Chou, C. (2020) · Distance Education · doi:10.1080/01587919.2020.1724768 · Cited by 529 · see citing works

Understanding the effect of e-learning on individual performance: The role of digital literacy

Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496 · see citing works

Identifying significant indicators using LMS data to predict course achievement in online learning

You, J. W. (2016) · The Internet and Higher Education · doi:10.1016/j.iheduc.2015.11.003 · Cited by 388 · see citing works

A Comparative Study of the ADDIE Instructional Design Model in Distance Education

Spatioti, A. G., Kazanidis, I., & Pange, J. (2022) · Information · doi:10.3390/info13090402 · Cited by 279 · see citing works

Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach

Hoi, V. N. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103761 · Cited by 250 · see citing works

The role of readiness factors in E-learning outcomes: An empirical study

Keramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.04.005 · Cited by 208 · see citing works

LMS-enabled blended learning utilization in distance tertiary education: Establishing the relationships among facilitating conditions, voluntariness of use and use behaviour

Bervell, B., & Arkorful, V. (2020) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-020-0183-9 · Cited by 144 · see citing works

Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review

Teacher Training Institute, M., Cheok, M. L., Wong, S. L., & Faculty of Educational Studies, U. P. M. (2015) · International Journal of Instruction · doi:10.12973/iji.2015.816a · Cited by 127 · see citing works

Determinants of mHealth success: An empirical investigation of the user perspective

Birkmeyer, S., Wirtz, B. W., & Langer, P. F. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102351 · Cited by 115 · see citing works

Predictors of social media self-control failure: Immediate gratifications, habitual checking, ubiquity, and notifications

Du, J., Kerkhof, P., & van Koningsbruggen, G. M. (2019) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2018.0730 · Cited by 96 · see citing works

Technology and instructor dimensions, e-learning satisfaction, and academic performance of distance students in Ghana

Bossman, A., & Agyei, S. K. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09200 · Cited by 89 · see citing works

The effectiveness of using e-learning in Malaysian higher education: A case study Universiti Teknologi Malaysia

Al-rahmi, W. M., Othman, M. S., & Mi Yusuf, L. (2015) · Mediterranean Journal of Social Sciences · doi:10.5901/mjss.2015.v6n5s2p625 · Cited by 81 · see citing works

Illustrating an ideal adaptive e-learning: A conceptual framework

Beldagli, B., & Adiguzel, T. (2010) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2010.03.939 · Cited by 79 · see citing works

Modeling Key Drivers of E-Learning Satisfaction among Student Teachers

Teo, T., & Wong, S. L. (2013) · Journal of Educational Computing Research · doi:10.2190/ec.48.1.d · Cited by 77 · see citing works

Effects and acceptance of precision education in an AI-supported smart learning environment

Hu, Y.-H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10664-3 · Cited by 68 · see citing works

Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones

Jung, H.-J. (2014) · Language Learning & Technology · doi:10.64152/10125/44386 · Cited by 62 · see citing works

Exploring the factors influencing the effectiveness of online learning: A study on college students

Kedia, P., & Mishra, L. (2023) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2023.100559 · Cited by 41 · see citing works

Students' Perceptions of Quality Across Four Course Development Models

Brown, V. S., Lewis, D., & Toussaint, M. (2018) · Online Learning · doi:10.24059/olj.v22i2.1213 · Cited by 20 · see citing works

The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions

De Silva, D., Jayatilleke, S., El-Ayoubi, M., Issadeen, Z., Moraliyage, H., & Mills, N. (2024) · Machine Learning and Knowledge Extraction · doi:10.3390/make6020051 · Cited by 14 · see citing works

Exploring the factors influencing college students’ learning satisfaction in generative AI-supported MOOCs learning environment: a learning experience framework perspective

Lv, P., Wang, X., Nie, Y., Wu, R., & Wang, L. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1633686 · Cited by 5 · see citing works