Phenomenological Study of Learning Motivation in E-learning from the Perspective of Self-Determination Theory

Document Type : Research Article

Authors

1 Assistant Professor, Department of Educational Sciences, Faculty of Literature and Humanities, Urmia University, Urmia, Iran

2 Assistant Professor, Department of Educational Sciences, Faculty of Educational Sciences and Psychology, University of Tabriz, Tabriz, Iran

3 professor, Department of Business Management, Payame Noor , University, Tehran, Iran

Abstract

Objective: Learning motivation in electronic educational courses is a critical focus in recent studies. The current research was conducted with the aim of phenomenologically examining the experiences that meet the motivational psychological needs of an electronic educational program.
Methods: A qualitative approach and phenomenological method were used to conduct the research. The study's participants were drawn from the Educational Sciences students at Tabriz University during the academic year 400-401. Among these students, 16 undergraduates were selected to participate in this research, and their lived experiences were investigated using the focus group interview method. The theoretical framework of self-determination was used to examine these lived experiences. Additionally, Smith's three-step method (data generation, data analysis, and case integration) was utilized for data analysis.
Results: The data analysis revealed that the motivational strategies of the e-learning course "Principles of Production of Educational Films," from the perspective of self-determination theory, include diversity in curriculum resources, flexibility in educational and learning activities, and practical activities in the autonomy section. Additionally, an appropriate level of difficulty, class requirements, freedom in discussions and activities, clear class criteria and indicators, and proper guidance were identified as motivational elements of the competency section as experienced by the students in this study. The use of social networks, group activities, classmates' feedback, and the teacher's socio-teaching presence were also identified as three motivational strategies in the communication section, which students considered important for enhancing communication.
Conclusions: To foster greater motivation and involvement of learners in electronic learning environments, it is necessary to incorporate the identified components into the design of such environments to deepen and stabilize learners' learning.

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Alamer, A., & Al Khateeb, A. (2023). Effects of using the WhatsApp application on language learner's motivation: a controlled investigation using structural equation modelling. Computer Assisted Language Learning, 36(1-2), 149-175. https://doi.org/10.1080/09588221.2021.1903042
Amez, S., & Baert, S. (2020). Smartphone use and academic performance: A literature review. International Journal of Educational Research, 103, 1-8. https://doi.org/10.1016/j.ijer.2020.101618
Bagheri, M., & Markedeh, A. (1401). The Effect of Training Using Gamification on Students' Academic Engagement. Biquarterly Journal of Cognitive Strategies in Learning. 10(18) [In Persian].
Bedenlier, S., Bond, M., Buntins, K., Zawacki-Richter, O., & Kerres, M. (2020). Facilitating student engagement through educational technology in higher education: A systematic review in the field of arts and humanities. Australasian Journal of Educational Technology, 36(4), 126-150.
https://doi.org/10.14742/ajet.5477
Bernacki, M. L., Crompton, H., & Greene, J. A. (2020). Towards convergence of mobile and psychological theories of learning. Contemporary Educational Psychology, 60, 101828.
https://doi.org/10.1016/j.cedpsych.2019.101828
Bernacki, M. L., Greene, J. A., & Crompton, H. (2020). Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education. Contemporary Educational Psychology, 60, 101827.
https://doi.org/10.1016/j.cedpsych.2019.101827
Chirkov, V., & Anderson, J. (2018). Statistical positivism versus critical scientific realism. A comparison of two paradigms for motivation research: Part 1. A philosophical and empirical analysis of statistical positivism. Theory & Psychology, 28(6), 712-736.
https://doi.org/10.1177/0959354318804670
Chiu, T. K. (2021). Student engagement in K-12 online learning amid COVID-19: A qualitative approach from a self-determination theory perspective. Interactive learning environments, 1-14.
https://doi.org/10.1080/10494820.2021.1926289
Chiu, T. K. F., & Mok, I. A. C. (2017). Learner expertise and mathematics different order thinking skills in multimedia learning. Computers & Education, 107, 147-164.
Crompton, H. (2013). A historical overview of m-learning: Toward learner-centered education. In Handbook of mobile learning (pp. 3-14). Routledge.
Danish, J., & Hmelo-Silver, C. E. (2020). On activities and affordances for mobile learning. Contemporary Educational Psychology, 60, 101829. https://doi.org/10.1016/j.cedpsych.2019.101829
Deci, E. L., Koestner, R., & Ryan, R. M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological bulletin, 125(6), 627.
https://doi.org/10.1037/0033-2909.125.6.627
Driscoll, A., Jicha, K., Hunt, A. N., Tichavsky, L., & Thompson, G. (2012). Can online courses deliver in-class results? A comparison of student performance and satisfaction in an online versus a face-to-face introductory sociology course. Teaching Sociology, 40(4), 312-331.
https://doi.org/10.1177/0092055X12446624
Hsu, H. C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and information technologies, 24, 2159-2174. https://doi.org/10.1007/s10639-019-09863-w
Jeno, L. M., Adachi, P. J., Grytnes, J. A., Vandvik, V., & Deci, E. L. (2019). The effects of m‐learning on motivation, achievement and well‐being: A Self‐Determination Theory approach. British Journal of Educational Technology, 50(2), 669-683. https://doi.org/10.1111/bjet.12657
Jeno, L. M., Diseth, Å., & Grytnes, J. A. (2021). Testing the METUX model in higher education: interface and task need-satisfaction predict engagement, learning, and well-being. Frontiers in psychology, 12, 631564. https://doi.org/10.3389/fpsyg.2021.631564
Jeno, L. M., Egelandsdal, K., & Grytnes, J. A. (2022). A qualitative investigation of psychological need-satisfying experiences of a mobile learning application: A Self-Determination Theory approach. Computers and Education Open, 3, 100108. https://doi.org/10.1016/j.caeo.2022.100108
Jeno, L. M., Egelandsdal, K., & Grytnes, J. A. (2022). A qualitative investigation of psychological need-satisfying experiences of a mobile learning application: A Self-Determination Theory approach. Computers and Education Open, 3, 100108. https://doi.org/10.1016/j.caeo.2022.100108
Jeno, L. M., Grytnes, J. A., & Vandvik, V. (2017). The effect of a mobile-application tool on biology students' motivation and achievement in species identification: A Self-Determination Theory perspective. Computers & Education, 107, 1-12. https://doi.org/10.1016/j.compedu.2016.12.011
Lee, Y. M. (2021). Mobile microlearning: a systematic literature review and its implications. Interactive Learning Environments, 1-16.
Maghami, H., & Mehralian. A. (1401). Competencies Required by the Desired Electronic Teacher in the Educational System. Biquarterly Journal of Cognitive Strategies in Learning. 10 (19). https://10.22084/j.psychogy.2022.26053.2455 [In Persian].
Martin, N., Kelly, N., & Terry, P. (2018). A framework for self-determination in massive open online courses: Design for autonomy, competence, and relatedness. Australasian Journal of Educational Technology, 34(2). https://doi.org/10.14742/ajet.3722
Nikou, S. A., & Economides, A. A. (2017). Mobile-Based Assessment: Integrating acceptance and motivational factors into a combined model of Self-Determination Theory and Technology Acceptance. Computers in Human Behavior, 68, 83-95. https://doi.org/10.1016/j.chb.2016.11.020
Peters, D., Davis, S., Calvo, R. A., Sawyer, S. M., Smith, L., & Foster, J. M. (2017). Young people's preferences for an asthma self-management app highlight psychological needs: a participatory study. Journal of medical Internet research, 19(4), e113. https://doi.org/10.2196/jmir.6994
Pimmer, C., Mateescu, M., & Gröhbiel, U. (2016). Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies. Computers in human behavior, 63, 490-501. https://doi.org/10.1016/j.chb.2016.05.057
Ryan, R. M., & Deci, E. L. (2000a). Intrinsic and extrinsic motivations: Class definitions and new directions.Contemporary Educational Psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020
Ryan, R. M., & Deci, E. L. (2000b). Self-Determination Theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78.
https://doi.org/10.1037//0003-066X.55.1.68
Ryan, R. M., & Deci, E. L. (2006). Self‐regulation and the problem of human autonomy: Does psychology need choice, self‐determination, and will?. Journal of personality, 74(6), 1557-1586.
https://doi.org/10.1111/j.1467-6494.2006.00420.x
Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications.
https://doi.org/10.1521/978.14625/28806
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. https://doi.org/10.1016/j.cedpsych.2020.101860
Ryan, R. M., & Moller, A. C. (2017). Competence as central, but not sufficient, for high-quality motivation. Handbook of competence and motivation: Theory and application, 216-238.
Ryan, R. M., & Niemiec, C. P. (2009). Self-determination theory in schools of education: Can an empirically supported framework also be critical and liberating?. Theory and Research in Education, 7(2), 263-272. https://doi.org/10.1177/1477878509104331
Schmid, RF., Bernardm, RM., Borokhovski, E., Tamim, RM., Abrami, PC., Surkes, MA, Wade CA, Woods J. (2014). The effects of technology use in postsecondary education: a meta-analysis of classroom applications. Comput Educ, 72(2), 71-91. https://doi.org/10.1016/j.compedu.2013.11.002
Shroff, R. H., & Keyes, C. J. (2017). A proposed framework to understand the intrinsic motivation factors on university students' behavioral intention to use a mobile application for learning. Journal of Information Technology Education. Research, 16, 143. https://doi.org/10.28945/3694
Trad, L., Katt, J., & Neville Miller, A. (2014). The effect of face threat mitigation on instructor credibility and student motivation in the absence of instructor nonverbal immediacy. Communication Education, 63(2), 136-148. https://doi.org/10.1080/03634523.2014.889319
VanHorn, S., Pearson, J. C., & Child, J. T. (2008). The online communication course: The challenges. Qualitative Research Reports in Communication, 9(1), 29-36. https://doi.org/10.1080/17459430802400332
Villalobos-Zúñiga, G., & Cherubini, M. (2020). Apps that motivate: A taxonomy of app features based on self-determination theory. International Journal of Human-Computer Studies, 140,1-24.
https://doi.org/10.1016/j.ijhcs.2020.102449
Wannheden, C., Stenfors, T., Stenling, A., & von Thiele Schwarz, U. (2021). Satisfied or frustrated? A qualitative analysis of need satisfying and need frustrating experiences of engaging with digital health technology in chronic care. Frontiers in Public Health, 8, 623773.
https://doi.org/10.3389/fpubh.2020.623773
Yang, S., Zhou, S., & Cheng, X. (2019). Why do college students continue to use mobile learning? Learning involvement and self‐determination theory. British Journal of Educational Technology, 50(2), 626-637. https://doi.org/10.1111/bjet.12634