Student’s Self‐Efficacy and Perceptions of Online Learning on the Use Learning Management System

Authors

DOI:

https://doi.org/10.23887/jet.v6i1.41884

Keywords:

E-learning, Self-efficacy, Learning Management System

Abstract

Empirical evidence explained the current changes in teaching and learning due to the coronavirus pandemic, especially in Indonesia. This study investigates factors of self-efficacy and the impacts on online learning in one university in Indonesia. In this research, the theory of social cognitive integration is used in the online learning process. This type of quantitative research with an online questionnaire tool was applied to collect data from 156 students. The data were analyzed using the Structure equation modeling (SEM) approach proposed using the Lisrel software. This study shows the significance of self-efficacy in finishing online learning and self-efficacy in interacting during online learning. The impacts are seen in terms of comfortability and self-awareness of students to attend online learning. On the other hand, the effect of social interaction in online learning is categorized as an insignificant factor statistically to influence the subject's intentions. The conditions of solving the obstacles and handling the features in the learning management system (LMS) are essential to achieving success in online learningFrom the research results, self-efficacy factors have a positive impact on the implementation of e-learning and instructor support helps overcome technical obstacles. Moreover, this study contributes to the implementation and guidance of students behaviours to increase success in online learning.

Author Biographies

Tamsik Udin, IAIN Syekh Nurjati Cirebon

Department of Madrasah Ibtidaiyah Teacher Education, IAIN Syekh Nurjati, Cirebon, Indonesia

Syibli Maufur, IAIN Syekh Nurjati Cirebon

Department of Madrasah Ibtidaiyah Teacher Education, IAIN Syekh Nurjati, Cirebon, Indonesia

Onwardono Rit Riyanto, IAIN Syekh Nurjati Cirebon

Department of Madrasah Ibtidaiyah Teacher Education, IAIN Syekh Nurjati, Cirebon, Indonesia

References

Abulibdeh, E. S., & Syed Hassan, S. S. (2011). E-learning interactions, information technology self efficacy and student achievement at the University of Sharjah, UAE. Australasian Journal of Educational Technology, 27(6). https://doi.org/10.14742/ajet.926.

Aesaert, K., Voogt, J., Kuiper, E., & van Braak, J. (2017). Accuracy and bias of ICT self-efficacy: An empirical study into students’ over- and underestimation of their ICT competences. Computers in Human Behavior, 75, 92–102. https://doi.org/10.1016/j.chb.2017.05.010.

Aljaber, A. (2018). E-learning policy in Saudi Arabia: Challenges and successes. Research in Comparative and International Educationv, 13(1), 176–194. https://doi.org/10.1177/1745499918764147.

Almanar, M. A. (2020). The shifting of face to face learning to distance learning during the pandemic Covid-19. Globish (An English-Indonesian Journal for English, Education and Culture), 9(2). https://doi.org/10.31000/globish.v9i2.2772.

Alqurashi, E. (2019). Predicting Student Satisfaction and Perceived Learning within Online Learning Environments. Distance Education, 40(1), 133–148. https://doi.org/10.1080/01587919.2018.1553562.

Alzahrani, L., & Seth, K. P. (2021). Factors influencing students’ satisfaction with continuous use of learning management systems during the COVID-19 pandemic: An empirical study. Education and Information Technologies, 26(6), 6787–6805. https://doi.org/10.1007/s10639-021-10492-5.

Awofala, A. O., Fatade, A. O., & Udeani, U. N. (2015). Nigerian Preservice Science Technology and Mathematics Teachers’ Computer self-efficacy: An Exploration based on Gender, Age, and Discipline of Study. International Journal of Education in Mathematics, Science and Technology, 3(2), 101–119. https://www.ijemst.net/index.php/ijemst/article/view/56%0A.

Barling, J., & Beattie, R. (1983). Self-Efficacy Beliefs and Sales Performance. Journal of Organizational Behavior Management, 5(1). https://doi.org/10.1300/j075v05n01_05.

Culp-Roche, A., Hardin-Fanning, F., Tartavoulle, T., Hampton, D., Hensley, A., Wilson, J. L., & Wiggins, A. T. (2021). Perception of online teacher self-efficacy: A multi-state study of nursing faculty pivoting courses during COVID 19. Nurse Education Today, 106, 105064. https://doi.org/10.1016/j.nedt.2021.105064.

Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered web-based learning environments. International Journal on E-Learning, 3(1), 40–47. https://www.learntechlib.org/p/4104/%0A.

Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018.

Dhir, S. K., Verma, D., Batta, M., & Mishra, D. (2017). E-learning in medical education in India. Indian Pediatrics, 54(10), 871–877. https://doi.org/10.1007/s13312-017-1152-9.

Dobbs, R. R., Waid, C. A., & del Carmen, A. (2009). Students Perceptions of Online Courses: The Effect of Online Course Experience. Quarterly Review of Distance Education, 10(1), 9. https://search.proquest.com/openview/1e66c6f2586c2b356bb69d68ce123c48/1?pq-origsite=gscholar&cbl=29705.

Farhan, W., & Razmak, J. (2020). A comparative study of an assistive e-learning interface among students with and without visual and hearing impairments. Disability and Rehabilitation: Assistive Technology, 1–11. https://doi.org/10.1080/17483107.2020.1786733.

Federici, R. A., & Skaalvik, E. M. (2011). Principal self-efficacy and work engagement: Assessing a Norwegian principal self-efficacy scale. Social Psychology of Education, 14(4), 575–600. https://doi.org/10.1007/s11218-011-9160-4.

Fedynich, L., Bradley, K. S., & Bradley, J. (2015). Graduate Students’ Perceptions of Online Learning. Research in Higher Education Journal, 27(1). https://eric.ed.gov/?id=EJ1056187%0A.

Gedera, D. S. ., Williams, P. ., & Wright, N. (2013). An activity theory analysis of moodle in facilitating asynchronous activities in a fully online university course. International Journal of Science and Applied Information Technology, 2(2), 6–10. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.380.3631&rep=rep1&type=pdf.

Gunesekera, A. I., Bao, Y., & Kibelloh, M. (2019). The role of usability on e-learning user interactions and satisfaction: a literature review. Journal of Systems and Information Technology, 21(3), 368–394. https://doi.org/10.1108/jsit-02-2019-0024.

Hong, J. C., Lee, Y. F., & Ye, J. H. (2021). Procrastination predicts online self-regulated learning and online learning ineffectiveness during the coronavirus lockdown. Personality and Individual Differences, 174, 110673. https://doi.org/10.1016/j.paid.2021.110673.

Hsia, J. W., Chang, C. C., & Tseng, A. . (2014). Effects of individuals’ locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies. Behaviour & Information Technology, 33(1), 51–64. https://doi.org/10.1080/0144929x.2012.702284.

Johnson, R. D., & Marakas, G. M. (2000). Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model. Information Systems Research, 11(4), 402–417. https://doi.org/10.1287/isre.11.4.402.11869.

Kanwal, F., & Rehman, M. (2017). Factors Affecting E-Learning Adoption in Developing Countries–Empirical Evidence From Pakistan’s Higher Education Sector. IEEE Access, 5, 10968–10978. https://doi.org/10.1109/access.2017.2714379.

Kirby, D., Barbour, M. K., & Sharpe, D. B. (2012). Student Perceptions and Preferences for Tertiary Online Courses: Does Prior High School Distance Learning Make a Difference? American Journal of Distance Education, 26(1), 34–49. https://doi.org/10.1080/08923647.2012.646089.

Moawad, R. A. (2020). Online learning during the COVID-19 pandemic and academic stress in university students. Revista Românească Pentru Educaţie Multidimensională, 12(1 Sup2), 100–107. https://www.ceeol.com/search/article-detail?id=859384.

Moreno, V., Cavazotte, F., & Alves, I. (2017). Explaining university students’ effective use of e‐learning platforms. British Journal of Educational Technology, 48(4), 995–1009. https://doi.org/10.1111/bjet.12469.

Mujianto, H. (2019). Pemanfaatan Youtube sebagai Media Ajar dalam Meningkatkan Minat dan Motivasi Belajar. Jurnal Komunikasi Universitas Garut: Hasil Pemikiran Dan Penelitian, 5(1), 135–159. https://doi.org/10.10358/jk.v5i1.588.

Panigrahi, R., Srivastava, P. R., & Panigrahi, P. K. (2021). Effectiveness of e-learning: the mediating role of student engagement on perceived learning effectiveness. Information Technology & People, 34(7), 1840–1862. https://doi.org/10.1108/ITP-07-2019-0380.

Park, C., & Kim, D. G. (2020). Exploring the Roles of Social Presence and Gender Difference in Online Learning. Decision Sciences Journal of Innovative Education, 18(2), 291–312. https://doi.org/10.1111/dsji.12207.

Rahmawaty, A. (2017). Perempuan dan Pemanfaatan Teknologi Internet dengan Pendekatan UTAUT. PALASTREN Jurnal Studi Gender, 9(1), 13–42. https://doi.org/10.21043/palastren.v9i1.1746.

Rahmi, B. A. K. I., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4–42. https://doi.org/10.17718/tojde.471649.

Robinson, L. (2017). Embracing online education: Exploring options for success. Journal of Marketing for Higher Education, 27(1), 99–111. https://doi.org/10.1080/08841241.2016.1261978.

Saadé, R. G., & Kira, D. (2009). Computer anxiety in e-learning: The effect of computer self-efficacy. Journal of Information Technology Education: Research, 8(1), 177–191. https://doi.org/10.28945/166.

Sari, A., & Setiawan, A. (2018). The development of internet-based economic learning media using moodle approach. International Journal of Active Learning, 3(2), 100–109. https://www.learntechlib.org/p/208671/%0A.

Sarsam, S. M., & Al-Samarraie, H. (2018). Towards incorporating personality into the design of an interface: a method for facilitating users’ interaction with the display. User Modeling and User-Adapted Interaction, 28(1), 75–96. https://doi.org/10.1007/s11257-018-9201-1.

Wahyuni, F. T. (2019). Hubungan antara Technological Pedagogical Content Knowledge (TPACK) dengan Technology Integration Self Efficacy (TISE) Guru Matematika di Madrasah Ibtidaiyah. Jurnal Pendidikan Matematika (Kudus), 2(2), 109–122. https://doi.org/10.21043/jpm.v2i2.6358.

Yakubu, M. N., & Dasuki, S. I. (2019). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria: A structural equation modelling approach. Information Development, 35(3), 492–502. https://doi.org/10.1177%2F0266666918765907.

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Published

2022-03-01

How to Cite

Udin, T., Maufur, S., & Riyanto, O. R. (2022). Student’s Self‐Efficacy and Perceptions of Online Learning on the Use Learning Management System. Journal of Education Technology, 6(1), 165–172. https://doi.org/10.23887/jet.v6i1.41884

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Articles