AUTONOMY IN DRIVING ONLINE MOTIVATION FOR JAPANESE LANGUAGE LEARNING
DOI:
https://doi.org/10.55197/qjssh.v7i5.1388Keywords:
autonomy, motivation, online learning, Japanese language learning, student engagementAbstract
Online usage in education, that are the result of rapid development of digital platform, play a vital role in Japanese language learners’ motivation. In Japanese language learning, learners’ participation and persistency are highly influenced by their autonomy. However, the relationship between online learning and autonomy has yet to be understood clearly. Thus, this study is done to investigate the influence of autonomy towards online motivation among Japanese language learners. This research employed a quantitative research approach through a survey from Fowler that utilized a 5 Likert-scale. Data were collected from 206 respondents from a public university in Malaysia. The findings show that online motivation has a significant positive relationship with autonomy. The higher autonomy a learner has, the greater motivation and participation they have in their classroom. This research offers current literature with empirical evidence on the relationship between autonomy and online motivation for Japanese language learning. This research also provides suggestions to instructors and curriculum designer when developing autonomy-related online Japanese language learning environments.
References
[1] Ahmad, N., Alias, F.A., Hamat, M., Mohamed, S.A. (2024): Reliability analysis: Application of Cronbach's alpha in research instruments. – Pioneering the Future: Delving into E-Learning's Landscape, SIG: e-Learning@CS, Universiti Teknologi MARA, Malaysia 6p.
[2] Chen, K.C., Jang, S.J. (2010): Motivation in online learning: Testing a model of self-determination theory. – Computers in Human Behavior 26(4): 741-752.
[3] Chiu, T.K.F. (2022): Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. – Journal of Research on Technology in Education 54(S1): S14-S30.
[4] Deci, E.L., Ryan, R.M. (2015): Self-determination theory. – In: International Encyclopedia of the Social and Behavioral Sciences, 2nd edition. Elsevier 6p.
[5] Deci, E.L., Ryan, R.M. (2000): The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. – Psychological Inquiry 11(4): 227-268.
[6] Firat, M. (2016): Determining the effects of LMS learning behaviors on academic achievement in a learning analytic perspective. – Journal of Information Technology Education: Research 15: 75-87.
[7] Fowler, K.S. (2018): The motivation to learn online questionnaire. – Doctoral dissertation, University of Georgia, Athens, Georgia, USA 150p.
[8] Hartnett, M. (2016): Motivation in online education. – Springer, Singapore 134p.
[9] Hartnett, M., St. George, A., Dron, J. (2011): Examining motivation in online distance learning environments: Complex, multifaceted, and situation-dependent. – The International Review of Research in Open and Distributed Learning 12(6): 20-38.
[10] He, L. (2024): The application of SPSS correlation analysis in the study of precision teaching of English in universities. – Applied Mathematics and Nonlinear Sciences 9(1): 1-13.
[11] Jeno, L.M., Danielsen, A.G., Raaheim, A. (2018): A prospective investigation of students' academic achievement and dropout in higher education: A self-determination theory approach. – Educational Psychology 38(9): 1163-1184.
[12] Jeno, L.M., Grytnes, J.A., Vandvik, V. (2017): The effect of a mobile-application tool on biology students' motivation and achievement: A self-determination theory perspective. – Computers & Education 107: 1-12.
[13] Rahmat, N.H. (2025): A comparison of online engagement for undergraduates. – International Journal of Research and Innovation in Social Science 9(6): 3260-3270.
[14] 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: 14p.
[15] Ryan, R.M., Deci, E.L. (2000): Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. – American Psychologist 55(1): 68-78.
[16] Shah, M.A. (2024): Meaning and statistical analysis of t-tests in SPSS. – Journal of Saidu Medical College 14(1): 64-65.
[17] 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.
[18] Vetter, T.R. (2017): Descriptive statistics: Reporting the answers to the 5 basic questions of who, what, why, when, where, and a sixth, so what? – Anesthesia & Analgesia 125(5): 1797-1802.
[19] Ziegenfuss, J.Y., Easterday, C.A., Dinh, J.M., JaKa, M.M., Kottke, T.E., Canterbury, M. (2021): Impact of demographic survey questions on response rate and measurement: A randomized experiment. – Survey Practice 14(1): 11p.
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Copyright (c) 2026 NADIAH ZUBBIR, CHUA TUNG ER, AYESYA AZREENA MOHD AZHAR, G SHARINA SHAHARUDDIN G, NORMAH AHMAD, MIO TAKEMURA, NOOR HANIM RAHMAT
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