Bridging the Digital Divide: Motivation and Academic Success in Indonesian Online Education
DOI:
https://doi.org/10.53748/jbms.v3i4.83Keywords:
self-determination theory, intrinsic and extrinsic motivation, online learning, academic performanceAbstract
Objective – With the strict regulations put in place due to COVID-19, scholastic activities have been forced to adjust from traditional in-class learning to online learning. There are an array of benefits associated with online learning including flexibility, accessibility, independence, and stress reduction. However, many students perform substandardly in online classes and most of them prefer face-to-face learning. Interestingly, the advantages and disadvantages of online learning have been found to be influenced by student motivation. Hence, this study aims to find the relationship between motivation, online learning, satisfaction, and academic performance.Methodology – An online survey was conducted with 110 students in Indonesia and SmartPLS was used to do a quantitative analysis on the data collected. Findings – The empirical results showed that motivation significantly affects online learning, online learning significantly affects satisfaction and academic performance, and satisfaction significantly affects academic performance. Hence, this study provides several implications, especially for schools and universities to establish efficient policies and services in their online learning method. For students to be more interactive, skillful, knowledgeable and eventually perform better in their academics, motivation, online learning success, and satisfaction need to be fulfilled beforehand. Novelty – Given the unique cultural, educational, and socioeconomic factors in Indonesia, the findings may offer valuable insights into the specific challenges and opportunities of online learning in this setting.
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References
Akinwande, M. O., Dikko, H. G., & Samson A. (2015). Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis. Open Journal of Statistics, 5, 754-767. http://dx.doi.org/10.4236/ojs.2015.57075
Alif, M. G., Pangaribuan, C. H. & Wulandari, N. R. (2018). The Factors Affecting Customer Satisfaction, Loyalty, and Word of Mouth Towards Online Shopping for Millennials in Jakarta. Proceedings of the 5th Sebelas Maret International Conference on Business, Economics, and Social Sciences (SMICBES), 17-19 Jul 2018, Bali, Indonesia (ISBN 978-1-138-35996-3).
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
Ayu, M. (2020). Online Learning: Leading E-Learning at Higher Education. The Journal of English
Literacy Education, 7(1), 47-54.
Basith, A., Rosmaiyadi, R., Triani, S. N., & Fitri, F. (2020). Investigation of Online Learning Satisfaction
During COVID 19: In Relation to Academic Achievement. Journal of Educational Science and
Technology, 6(3), 265-275. https://ojs.unm.ac.id/JEST/article/view/14803/9700
Behzadnia, B., Alizadeh, E., Haerens, L., & Aghdasi, M. T. (2022). Changes in students’ goal pursuits and motivational regulations toward healthy behaviors during the pandemic: A self-determination theory perspective. Psychology of Sport and Exercise, 59, 102131, 1-10.
Botnaru, D., Orvis, J., Langdon, J., Niemiec, C. P., & Landge, S. M. (2021). Predicting final grades in STEM courses: A path analysis of academic motivation and course-related behavior using self-determination theory. Learning and Motivation, 74, 101723, 1-11.
Carrillo, C., & Flores, M. A. (2020). COVID-19 and teacher education: a literature review of online
teaching and learning practices. European Journal of Teacher Education, 43(4), 466-487.
https://doi.org/10.1080/02619768.2020.1821184
Clark, A. E., Nong, H., Zhu, H., & Zhu, R. (2021). Compensating for academic loss: Online
learning and student performance during the COVID-19 pandemic. China Economic Review, 68,
, 1-14. https://doi.org/10.1016/j.chieco.2021.101629
Dhaqane, M. K., & Afrah, N. A. (2016). Satisfaction of Students and Academic Performance in Benadir University. Journal of Education and Practice, 7(24), 59-63.
Dhawan, S. (2020). Online Learning: A Panacea in the Time of COVID-19 Crisis. Journal of
Education Technology System, 49(1), 5-22. https://doi.org/10.1177/0047239520934018
Dziuban, C., Moskal, P., Thompson, J., Kramer, L., DeCantis, G., & Hermsdorfer, A. (2015). Student satisfaction with online learning: Is it a psychological contract? Online Learning, 19(2), 1–15. https://doi.org/10.24059/olj.v19i2.496
Ekolu, S. O., & Quainoo, H. (2019). Reliability of assessments in engineering education using Cronbach’s alpha, KR and split-half methods. Global Journal of Engineering Education, 21(1), 24-29.
Engzell, P., Frey A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. PNAS, 118(17), 1-7. https://doi.org/10.1073/pnas.2022376118
Fowler, S. (2018). The Motivation to Learn Online Questionnaire [Doctoral dissertation, University of Georgia]. University of Georgia Repository. https://getd.libs.uga.edu/pdfs/fowler_kevin_s_201805_phd.pd
Ghosh, S., Pulford, S., & Bloom A. J. (2022). Remote learning slightly decreased student
performance in an introductory undergraduate course on climate change. Communications Earth
& Environment, 3(177), 1-6. https://doi.org/10.1038/s43247-022-00506-6
Gopal, R., Singh V., & Aggarwal A. (2021). Impact of online classes on the satisfaction and
performance of students during the pandemic period of COVID 19. Educ Inf Technol, 26,
–6947. https://doi.org/10.1007/s10639-021-10523-1
Gustiani, S. (2020). Students’ Motivation in Online Learning During Covid-19 Pandemic
Era: A Case Study. Holistics Journal, 12(2), 23-40.
Hamdan, K., & Amorri, A. (2022). The Impact of Online Learning Strategies on Students’ Academic Performance. E-Learning and Digital Education in the Twenty-First Century, in E-Learning and Digital Education. In M. Mahruf C. Shohel (Ed.) The Twenty-First Century.
https://doi.org/10.5772/intechopen.94425
Keržič, D., Alex, J. K., Pamela Balbontín Alvarado, R., Bezerra, D. da, Cheraghi, M., Dobrowolska, B., Fagbamigbe, A. F., Faris, M. A. I. E., França, T., González-Fernández, B., Gonzalez-Robledo, L. M., Inasius, F., Kar, S. K., Lazányi, K., Lazăr, F., Machin-Mastromatteo, J. D., Marôco, J., Marques, B. P., Mejía-Rodríguez, O., … Aristovnik, A. (2021). Academic student satisfaction and perceived performance in the e-learning environment during the COVID-19 pandemic: Evidence across ten countries. PLOS ONE, 16(10), 1-23. https://doi.org/10.1371/journal.pone.0258807
Kilic, A., Uysal, İ., & Atar, B. (2020). Comparison of confirmatory factor analysis estimation methods on Binary Data. International Journal of Assessment Tools in Education, 7(3), 451–487. https://doi.org/10.21449/ijate.660353
Lai, P. C. (2018). Research methodology for novelty technology. Journal of Information Systems and Technology Management, 15(1), 1-17. https://doi.org/10.4301/s1807-1775201815010
Mandasari, B. (2020). The Impact of Online Learning toward Students’ Academic
Performance on Business Correspondence Course. Journal of Education and Technology, 4(1),
-110. https://doi.org/10.29062/edu.v4i1.74
Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample Size for Survey Research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), 1-20. https://doi.org/10.47263/jasem.4(2)01
Mohammed, A. M. E., Ahmed, N. O., & Mohammed, O. H. (2022). Study on the Impact of Online
Learning on Students’ Academic Performance. Asian Journal of Multidisciplinary Research &
Review, 3(2), 167-183.
Nishimura, T., & Sakurai, S. (2017). Longitudinal changes in academic motivation in Japan: Self-determination theory and East Asian cultures. Journal of Applied Developmental Psychology, 48, 42–48. https://doi.org/10.1016/j.appdev.2016.11.004
Ozili, P. K. (2022). The Acceptable R-Square in Empirical Modelling for Social Science Research. SSRN Electronic Journal. http://dx.doi.org/10.2139/ssrn.4128165
Pokhrel, S., & Chhetri, R. (2021). A Literature Review on Impact of COVID-19 Pandemic on
Teaching and Learning. Higher Education for the Future, 8(1), 133-141.
https://doi.org/10.1177/2347631120983481
Purwanto, A., & Sudargini, Y. (2021). Partial Least Squares Structural Squation Modeling (PLS-SEM) Analysis for Social and Management Research: A Literature Review. Journal of Industrial Engineering & Management Research, 2(4), 114-123. https://doi.org/10.7777/jiemar.v2i4
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and New Directions. Contemporary Educational Psychology, 25(1), 54–67.
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and Future Directions. Contemporary Educational Psychology, 61, 101860, 1-11. https://doi.org/10.1016/j.cedpsych.2020.101860
Selvaraj, A., Vishnu, R., KA, Nithin, Benson, N., & Mathew, A. J. (2021). Effect of pandemic based
online education on teaching and learning system. International Journal of Education
Development, 85, 102444, 1-11. https://doi.org/10.1016/j.ijedudev.2021.102444
Septiadi, G., Dliss, F., & Sukur, A. (2021). The effect of online learning and student motivation during the COVID-19 pandemic. Gladi: Jurnal Ilmu Keolahragaan, 12(01), 62–72.
She, L., Ma, L., Jan, A., Nia, H. S., & Rahmatpour, P. (2021). Online Learning Satisfaction During
COVID-19 Pandemic Among Chinese University Students: The Serial Mediation Model.
Frontiers in Psychology, 12, 743936, 1-12. https://doi.org/10.3389/fpsyg.2021.743936
Soepriyatna & Pangaribuan, C. H. (2022). The Direct and Indirect Influence of Gamification on Learning Engagement: The Importance of Learning Goal Orientation (A Preliminary Study). International Journal of Information Engineering and Electronic Business (IJIEEB), 14(4), 39-46.
Stark, E. (2019). Examining the role of motivation and learning strategies in the success of online vs. face-to-face students. Online Learning, 23(3), 234-251. https://doi.org/10.24059/olj.v23i3.1556
Suryani, N. K., & Sugianingrat, I. A. P. W. (2021). Student E-Learning Satisfaction During TheCovid-19
Pandemic in Bali, Indonesia. Jurnal Economia, 17(1), 141-151.
Sutter, C. C., & Campbell, L. O. (2022). The role of academic self-determined reading motivation, reading self-concept, home reading environment, and student reading behavior in reading achievement among American Indian and Hispanic students. Contemporary Educational Psychology, 70, 102093, 1-12. https://doi.org/10.1016/j.cedpsych.2022.102093
Wang, Y., Xia, M., Guo, W., Xu, F., & Zhao, Y. (2022). Academic performance under COVID-19: The
role of online learning readiness and emotional competence. Current Psychology, 42, 30562-30575.
WHO Coronavirus (COVID-19) Dashboard. (n.d.). WHO. https://covid19.who.int/
Zalat, M. M., Hamed, M. S., & Bolbol, S. A. (2021). The experiences, challenges, and acceptance of e-learning as a tool for teaching during the COVID-19 pandemic among university medical staff. PLoS ONE, 16(3), 1-12. https://doi.org/10.1371/journal.pone.0248758
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