Examining Students’ Confidence to Learn Online, Self-Regulation Skills and Perceptions of Satisfaction and Usefulness of Online Classes


  • Brittany Landrum University of Dallas




Online education, satisfaction, usefulness, self-efficacy, self-regulation


As online class offerings continue to proliferate and more students take at least one online class in college, more research is needed to explore factors that impact students’ perceptions of their online classes. Past research has found a positive relationship between students’ computer self-efficacy and their satisfaction with online learning, but little research has explored how learning management system and online learning self-efficacy relate to perceptions of satisfaction and perceived usefulness of online classes. In addition to confidence, students must also implement and apply their learning skills in an online environment; thus self-regulation and time management as well as past online learning experience are additional factors that have been shown to be related to satisfaction with and usefulness of online learning. This study explores how students’ confidence regarding their ability to use online learning platforms, utilize self-regulation strategies, and their confidence in their ability to learn in online classes predict both their satisfaction with and perceived usefulness of online classes. Multiple regression analyses revealed that students’ confidence to learn online was the strongest positive predictor of satisfaction and usefulness of online classes. The results indicate that exploring students’ purpose and reasons for taking online classes, beyond a students’ skill set and learning strategies, are fruitful directions to pursue when assessing evaluations of online classes. 

Author Biography

Brittany Landrum, University of Dallas

Assistant Professor of Psychology


Al-Azawei, A., & Lundqvist, K. (2015). Learner differences in perceived satisfaction of an online learning: An extension to the technology acceptance model in an Arabic sample. Electronic Journal of E-Learning, 13(5), 408–426.

Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9(1), 45-51.

Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148.

Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260–270.

Artino, A. R., Jr., & McCoach, D. B. (2008). Development and initial validation of the Online Learning Value and Self-Efficacy Scale. Journal of Educational Computing Research, 38(3), 279–303.

Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359–373.

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.

Bradley, R. L., Browne, B. L., & Kelley, H. M. (2017). Examining the influence of self-efficacy and self-regulation in online learning. College Student Journal, 51(4), 518–530.

Bristow, D., Shepherd, C. D., Humphreys, M., & Ziebell, M. (2011). To be or not to be: That isn’t the question! An empirical look at online versus traditional brick-and-mortar courses at the university level. Marketing Education Review, 21(3), 241–250.

Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13.

Chen, H., Islam, A. Y. M. A., Gu, X., Teo, T., & Peng, Z. (2019). Technology-enhanced learning and research using databases in higher education: The application of the ODAS model. Educational Psychology.

Chu, R. J. (2010). How family support and internet self-efficacy influence the effects of e-learning among higher aged adults—Analyses of gender and age differences. Computers & Education, 55(1), 255–264.

Eom, S. B. (2012). Effects of LMS, Self-efficacy, and self-regulated learning on LMS effectiveness in business education. Journal of International Education in Business, 5(2), 129–144.

Eom, S. B., & Ashill, N. (2016). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An update. Decision Sciences Journal of Innovative Education, 14(2), 185-215.

Hammouri, Q., & Abu-Shanab, E. (2018). Exploring factors affecting users’ satisfaction toward E-learning systems. International Journal of Information and Communication Technology Education, 14(1), 44–57.

Herbert, M. (2006). Staying the course: A study in online student satisfaction and retention. Online Journal of Distance Learning Administration, 9(4). Retrieved from http://www.westga.edu/~distance/ojdla/winter94/herbert94.htm

Hodges, C. B. (2008). Self-efficacy, motivational email, and achievement in an asynchronous math course. Journal of Computers in Mathematics and Science Teaching, 27(3), 265–285.

Hodges, C. B., Stackpole-Hodges, C. L., & Cox, K. M. (2008). Self-efficacy, self-regulation, and cognitive style as predictors of achievement with podcast instruction. Journal of Educational Computing Research, 38(2), 139–153.

Islam, A. Y. M. A., Leng, C. H., & Singh, D. (2015). Efficacy of the Technology Satisfaction Model (TSM): An empirical study. International Journal of Technology and Human Interaction (IJTHI), 11(2), 45–60.

Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30-40.

Joo, Y. J., Lim, K. Y., & Kim, J. (2013). Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context. Computers & Education, 62, 149–158.

Jung, H.-J. (2014). Ubiquitous learning: Determinants impacting learners’ satisfaction and performance with smartphones. Language Learning & Technology, 18(3), 97–119.

Kırmızı, Ö. (2015). The influence of learner readiness on student satisfaction and academic achievement in an online program at higher education. TOJET: The Turkish Online Journal of Educational Technology, 14(1), 133–142.

Kuo, Y.-C., & Belland, B. R. (2016). An exploratory study of adult learners’ perceptions of online learning: Minority students in continuing education. Educational Technology Research and Development, 64(4), 661–680.

Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50.

Lederman, D. (2018, Nov 7). Online education ascends. Inside Higher Ed. Retrieved from https://www.insidehighered.com/digital-learning/article/2018/11/07/new-data-online-enrollments-grow-and-share-overall-enrollment

Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 44(2), 328–337.

Lee, J.K. & Hwang, C.Y. (2007). The effects of computer self-efficacy and learning management system quality on e-Learner’s satisfaction. In Cameron, L., Voerman, A. and Dalziel, J. (Eds), Proceedings of the 2007 European LAMS Conference: Designing the future of learning (pp. 73-79). 5 July, 2007, Greenwich: LAMS Foundation.

Levy, Y. (2007). Comparing dropouts and persistence in e-learning courses. Computers & Education, 48(2), 185–204.

Liaw, S.-S., & Huang, H.-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14–24.

Lim, C. K. (2001). Computer self‐efficacy, academic self‐concept, and other predictors of satisfaction and future participation of adult distance learners. American Journal of Distance Education, 15(2), 41-51.

Lin, Y.-M., Lin, G.-Y., & Laffey, J. M. (2008). Building a social and motivational framework for understanding satisfaction in online learning. Journal of Educational Computing Research, 38(1), 1–27.

Martin, F., Tutty, J. I., & Su, Y. (2010). Influence of learning management systems self-efficacy on e-learning performance. Journal on School Educational Technology, 5(3), 26–35.

Nistor, N., & Neubauer, K. (2010). From participation to dropout: Quantitative participation patterns in online university courses. Computers & Education, 55(2), 663-672.

Palmer, S. R., & Holt, D. M. (2009). Examining student satisfaction with wholly online learning. Journal of Computer Assisted Learning, 25(2), 101–113.

Palmer, S., & Holt, D. (2010). Students’ perceptions of the value of the elements of an online learning environment: Looking back in moving forward. Interactive Learning Environments, 18(2), 135–151.

Shen, D., Cho, M.-H., Tsai, C.-L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10–17.

Shih, M., Liang, J.-C., & Tsai, C.-C. (2018). Exploring the role of university students’ online self-regulated learning in the flipped classroom: A structural equation model. Interactive Learning Environments. doi: 10.1080/10494820.2018.1541909

Simmering, M. J., Posey, C., & Piccoli, G. (2009). Computer self‐efficacy and motivation to learn in a self‐directed online course. Decision Sciences Journal of Innovative Education, 7(1), 99–121.

Su, Y., Li, Y., Liang, J.-C., & Tsai, C.-C. (2018). Moving literature circles into wiki-based environment: The role of online self-regulation in EFL learners’ attitude toward collaborative learning. Computer Assisted Language Learning. doi:10.1080/09588221.2018.1527363

Sun, J. C.-Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204.

Wang, C.-H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323.

Wu, J.-H., Tennyson, R. D., & Hsia, T.-L. (2010). A study of student satisfaction in a blended e-learning system environment. Computers & Education, 55(1), 155–164.

Yilmaz, R. (2017). Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Computers in Human Behavior, 70, 251–260.

Zakariah, Z., Hashim, R. A., & Musa, N. (2016). Motivation, experience, and satisfaction among adult learners with fully online web-based courses. Retrieved from http://oasis.col.org/handle/11599/2548

Zimmerman, B. J. (1995a). Attaining reciprocality between learning and development through self-regulation. Human Development, 38(6), 367–372.

Zimmerman, B. J. (1995b). Self-regulation involves more than metacognition: A social cognitive perspective. Educational Psychologist, 30(4), 217–221.

Zimmerman, W. A., & Kulikowich, J. M. (2016). Online learning self-efficacy in students with and without online learning experience. American Journal of Distance Education, 30(3), 180–191.






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