Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system

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

Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services

Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.013 · Cited by 956

Predicting student satisfaction and perceived learning within online learning environments

Alqurashi, E. (2019) · Distance Education · doi:10.1080/01587919.2018.1553562 · Cited by 697

Impact of online classes on the satisfaction and performance of students during the pandemic period of COVID 19

Gopal, R., Singh, V., & Aggarwal, A. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10523-1 · Cited by 618

Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments

Liaw, S.-S., & Huang, H.-M. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.07.015 · Cited by 571

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

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

An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence

Chai, C. S., Wang, X., & Xu, C. (2020) · Mathematics · doi:10.3390/math8112089 · Cited by 226

Conceptualizing and investigating instructor presence in online learning environments

Richardson, J. C., Koehler, A. A., Besser, E. D., Caskurlu, S., Lim, J., & Mueller, C. M. (2015) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v16i3.2123 · Cited by 217

How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults–Analyses of gender and age differences

Chu, R. J.-C. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.01.011 · Cited by 212

Use of E-Learning by University Students in Malaysian Higher Educational Institutions: A Case in Universiti Teknologi Malaysia

Al-Rahmi, W. M., Alias, N., Othman, M. S., Alzahrani, A. I., Alfarraj, O., Saged, A. A., & Abdul Rahman, N. S. (2018) · IEEE Access · doi:10.1109/access.2018.2802325 · Cited by 204

Factors Influencing Learner Attitudes Towards ChatGPT-Assisted Language Learning in Higher Education

Cai, Q., Lin, Y., & Yu, Z. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2261725 · Cited by 180

An Investigation of Students’ Acceptance of Moodle in a Blended Learning Setting Using Technology Acceptance Model

Yeou, M. (2016) · Journal of Educational Technology Systems · doi:10.1177/0047239515618464 · Cited by 141

Cognitive Load Theory in Computing Education Research: A Review

Duran, R., Zavgorodniaia, A., & Sorva, J. (2022) · ACM Transactions on Computing Education · doi:10.1145/3483843 · Cited by 92

Cross cultural analysis of the use and perceptions of web based learning systems

Arenas-Gaitán, J., Ramírez-Correa, P. E., & Javier Rondán-Cataluña, F. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.03.016 · Cited by 83

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

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

The drivers for cloud-based virtual learning environment: Examining the moderating effect of school category

Teck Soon, H., & Syed A. Kadir, S. L. (2017) · Internet Research · doi:10.1108/intr-08-2016-0256 · Cited by 53

Difficulty and self-efficacy: An exploratory study

Power, J., Lynch, R., & McGarr, O. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12755 · Cited by 42

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects

Aparicio, F., Morales-Botello, M. L., Rubio, M., Hernando, A., Muñoz, R., López-Fernández, H., Glez-Peña, D., Fdez-Riverola, F., de la Villa, M., Maña, M., et al. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.12.016 · Cited by 39

Review and Discussion of Strategies to Address Low Trainer‐to‐Staff Ratios

Karsten, A. M., Axe, J. B., & Mann, C. C. (2015) · Behavioral Interventions · doi:10.1002/bin.1420 · Cited by 18

Distant education in Moroccan medical schools following COVID-19 outbreak at the early phase of lockdown: Were the students really engaged?

Hjiej, G., Idrissi, F. E. E., Janfi, T., Bouhabs, M., Hnaifi, H., Belakbyer, H., Gabri, M., Touissi, Y., Hajjioui, A., Bentata, Y., et al. (2022) · Scientific African · doi:10.1016/j.sciaf.2021.e01087 · Cited by 18

The Pedagogical Implications of Implementing New Technologies to Enhance Student Engagement and Learning Outcomes

Sammel, A., Weir, K., & Klopper, C. (2014) · Creative Education · doi:10.4236/ce.2014.52017 · Cited by 14

The Influence of Self-Regulation on Learner’s Behavioral Intention to Reuse E-Learning Systems: A Moderated Mediation Model

Xu, J., & Qiu, X. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.763889 · Cited by 13

Modèle d’intégration du numérique en éducation : Création et vérification de l’utilisabilité

Noben, N., Rappe, J., & Joris, N. (2024) · Médiations et médiatisations · doi:10.52358/mm.vi19.376

Exploring Predictors of Counselors’ Acceptance of Virtual Reality Exposure Therapy With Resistance and Job Contexts as Moderators: Cross-Sectional Mixed Methods Study

Kim, M., Jeon, M., Lee, Y., Lee, S., Kim, H., & Jung, D. (2025) · Journal of Medical Internet Research · doi:10.2196/81803