North Bali Students’ Online Learning Self-Efficacy, Engagement, and Satisfaction
DOI:
https://doi.org/10.21580/vjv10i28921Keywords:
online learning, self-efficacy, engagement, satisfactionAbstract
This study aimed to investigate the relationship among online learning self-efficacy, engagement, and students’ satisfaction in online learning. The design of this study was mixed-method research through surveys and open-ended interview with the purposive sampling technique. The quantitative data were analyzed using multiple regression. The respondents were 24 postgraduate students from North Bali, Indonesia. The quantitative data were analyzed using correlation and regression techniques, and an open-ended interview was conducted. The research results showed a positive correlation between online learning self-efficacy, engagement, and students’ satisfaction. The study concludes that students’ satisfaction can be enhanced by increasing students’ online learning self-efficacy and engagement either individually or simultaneously. The implication of this study revealed that strategies in self-efficacy and engagement during learning-related emotions could play a mediating role in academic satisfaction. Additionally, learning-related emotion impacts the metacognitive learning procedures, which thus intervene the impact of satisfaction in online learning.
Downloads
References
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. https://doi.org/https://doi.org/10.1080/01587919.2018.1553562.
Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2), 191–215. https://doi.org/10.1007/978-3-319-75361-4
Bower, M., & Sturman, D. (2015). What are the educational affordances of wearable technologies? Computers and Education, 88, 343–353. https://doi.org/10.1016/j.compedu.2015.07.013
Buelow, J. R., Barry, T., & Rich, L. E. (2018). Supporting learning engagement with online students. Online Learning Journal, 22(4), 313–340. https://doi.org/10.24059/olj.v22i4.1384
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. (M. P. Scott, Ed.). University of Nebraska-Lincoln: SAGE Publications, Inc.
de Paepe, L., Zhu, C., & Depryck, K. (2018). Drop-out, retention, satisfaction and attainment of online learners of Dutch in adult education. International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education, 17(3), 303–323.
Doo, M. Y., & Bonk, C. J. (2020). The effects of self-efficacy, self-regulation and social presence on learning engagement in a large university class using flipped Learning. Journal of Computer Assisted Learning, 36(6), 997–1010. https://doi.org/10.1111/jcal.12455
Gray, J. A., & DiLoreto, M. (2016). The Effects of Student Engagement, Student Satisfaction, and Perceived Learning in Online Learning Environments This. NCPEA International Journal of Educational Leadership Preparation, 11(1), 98–119.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. H. (2017). Intrinsic motivation of Chinese learning in predicting online learning self-efficacy and flow experience relevant to students’ learning progress. Computer Assisted Language Learning, 30(6), 552–574. https://doi.org/10.1080/09588221.2017.1329215
Jiwa, R. N. F., Tanduklangi, A., & Sailan, Z. (2017). Cognitive Style, Attitude, and Self Efficacy as Predictors of Student Success in EFL Online Courses at Halu Oleo University. … of Language Education and Educational …, 2(2). Retrieved from http://ojs.uho.ac.id/index.php/JLEET/article/view/6695
Kalaycı, Ş. (2009). SPSS Applied multivariate statistical techniques. Ankara: Asil Publishing.
Kreth, Q., Spirou, M. E., Budenstein, S., & Melkers, J. (2019). How prior experience and self-efficacy shape graduate student perceptions of an online learning environment in computing. Computer Science Education, 29(4), 357–381. https://doi.org/10.1080/08993408.2019.1601459
Landrum, B. (2020). Examining students’ confidence to learn online, self-regulation skills and perceptions of satisfaction and usefulness of online classes. Online Learning Journal, 24(3), 128–146. https://doi.org/10.24059/olj.v24i3.2066
Lin, S., Hu, H. C., & Chiu, C. K. (2020). Training Practices of Self-efficacy on Critical Thinking Skills and Literacy: Importance-Performance Matrix Analysis. Eurasia Journal of Mathematics, Science and Technology Education, 16(1), 1–10. https://doi.org/10.29333/ejmste/112202
Malmberg, J., Järvelä, S., Järvenoja, H., & Panadero, E. (2015). Promoting socially shared regulation of learning in CSCL: Progress of socially shared regulation among high- and low-performing groups. Computers in Human Behavior, 52, 562–572. https://doi.org/10.1016/j.chb.2015.03.082
Morgan, H. (2019). Online Instruction and Virtual Schools for Middle and High School Students : Twenty-First-Century Fads or Progressive Teaching Methods for Today ’ s Pupils ? The Clearing House, 72–76. https://doi.org/10.1080/00098655.2015.1007909
Muzammil, M., Sutawijaya, A., & Harsasi, M. (2020). Investigating Student Satisfaction in Online Learning: the Role of Student Interaction and Engagement in Distance Learning University. Turkish Online Journal of Distance Education, (July), 88–96. https://doi.org/10.17718/tojde.770928
O’Flaherty, J., & Phillips, C. (2015). The use of flipped classrooms in higher education: A scoping review. Internet and Higher Education, 25, 85–95. https://doi.org/10.1016/j.iheduc.2015.02.002
Panadero, E., & Alonso-tapia, J. (2014). How do students self- regulate ? Review of Zimmerman’s cyclical model of self-regulated learning. Anales de Psicología, 30, 450–462.
Skinner, E., & Pitzer, J. (2012). Developmental dynamics of student engagement, coping, and everyday resilience. (The handbo). New York: NY: Springer Science.
Strawser, M., Kercsmar, S., & Pennell, M. (2017). A Blended Basic Course Examination of Communication Apprehension and Self-Efficacy: A Comparative Analysis. Basic Communication Course Annual, 29(1), 6.
Wolverton, C. C., Guidry Hollier, B. N., & Lanier, P. A. (2020). The impact of computer self efficacy on student engagement and group satisfaction in online business courses. Electronic Journal of E-Learning, 18(2), 175–188. https://doi.org/10.34190/EJEL.20.18.2.006
Yu, X., Wang, C. X., & Spector, J. M. (2020). Factors that impact social networking in online self-regulated learning activities. Educational Technology Research and Development, 68(6), 3077–3095. https://doi.org/10.1007/s11423-020-09843-9
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. https://doi.org/10.1080/08923647.2016.1193801
Downloads
Published
Issue
Section
License
Copyright
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant Vision: Journal for Language and Foreign Language Learning the right of publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after the publication process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.