A Systematic Review of the Application of Flow Theory in Educational Research
Keywords:
Flow Theory, Learning Immersion, Deep Learning, Intrinsic Learning Motivation, Systematic ReviewAbstract
This paper systematically reviews flow theory, which describes the optimal immersive learning state and underpins research on intrinsic motivation and deep learning. Against the digital education transformation, the theory has been widely applied in diverse educational contexts. Based on bibliometric and literature analysis, this study sorts global educational flow research into three evolutionary stages and summarizes its core research topics. It further highlights major limitations of existing studies regarding theoretical localization, research methodology, negative-flow exploration and instructional practice. Finally, it proposes future research directions in theoretical innovation, methodological renewal, thematic expansion and practical application, providing references for intelligent immersive teaching and learning.References
Barzilai, S., & Blau, I. (2014). Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences. Computers & Education, 70, 65–79. https://doi.org/10.1016/j.compedu.2013.08.003
Blume, F., Irmer, A., Dirk, J., & Schmiedek, F. (2022). Day-to-day variation in students' academic success: The role of self-regulation, working memory, and achievement goals. Developmental Science, 25(3), e13301. https://doi.org/10.1111/desc.13301
Boyer, S. E., & Lamoreaux, C. D. (1997). Flow theory as a construct for analyzing learning environments in a 7th-grade science classroom. Annual Meeting of the American Educational Research Association. ERIC.
Bressler, D. M., & Bodzin, A. M. (2013). A mixed methods investigation of student flow in educational gaming. Journal of Educational Technology & Society, 16(1), 52–64. https://doi.org/10.14789/jetso.16.1.5
Chen, Y., Lee, S., & Lin, H. (2023). The dual effect of flow: Optimal learning versus digital burnout in AI-assisted learning. British Journal of Educational Technology, 54(4), 1087–1106. https://doi.org/10.1111/bjet.13362
Chen, Y. H., & Yang, Y. T. (2022). Empirical research on factors shaping student flow experience within digital learning games. Modern Educational Technology, 32(8), 94–101. https://doi.org/10.3969/j.issn1009-8097.2022.08.013
Cheng, C. D., & Tan, J. Z. (2024). Visualised analysis of domestic English teaching flow research (2005–2023). Creative Education Studies, 12(7), 262–268. https://doi.org/10.12677/ces.2024.127459
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
Csikszentmihalyi, M. (2017). Flow: The psychology of optimal experience (D. Q. Zhang, Trans.). CITIC Press.
Egbert, J. (2003). A study of flow theory in the foreign language classroom. The Modern Language Journal, 87(4), 499–518. https://doi.org/10.1111/1540-4781.00204
Fullagar, C. J., & Kelloway, E. K. (2009). Flow at work: An experience sampling approach. Journal of Occupational and Organizational Psychology, 82(3), 595–615. https://doi.org/10.1348/026917908X376441
Gao, W., & Zhang, J. L. (2025). Moderating effects of AI translation tools on foreign language learners' flow experience. Journal of Zhejiang International Studies University, 2, 80–87. https://doi.org/10.13387/j.cnki.issn2095-2074.2025.02.010
Guo, Q. M. (2019). A qualitative study of classroom flow experience among distinguished vocational college instructors. Vocational Education Forum, 6, 62–66. https://doi.org/10.3969/j.issn.1001-7518.2019.06.012
Hair, J. F., Wolfinbarger, M., Money, A. H., Samouel, P., & Page, M. J. (2019). Essentials of business research methods (4th ed.). Routledge.
Hamari, J., & Keronen, P. (2017). Why do people play games? Meta-analysis. Computers in Human Behavior, 71, 25–34. https://doi.org/10.1016/j.chb.2017.01.044
Hasan, M., & Bao, Y. (2022). Why students engage in negative learning behaviors in online courses: A mixed-method study integrating SEM and fsQCA. Frontiers in Psychology, 13, 964128. https://doi.org/10.3389/fpsyg.2022.964128
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68. https://doi.org/10.1177/002224299606000304
Huang, K., & Ye, T. (2025). Restructuring mechanisms for innovation-entrepreneurship integrated vocational curricula from a flow theory perspective. Vocational and Technical Education, 46(18), 89–95. https://doi.org/10.3969/j.issn.1004-9290.2025.18.009
Hui, L., & Chen, J. (2025). Influencing factors of digital-intelligent English learning outcomes: Mechanisms of emotion and flow. Foreign Language Teaching, 48(6), 36–42. https://doi.org/10.16362/j.cnki.cn61-1023/h.2025.06.005
Jackson, S. A., & Marsh, H. W. (1996). Development and validation of the flow state scale. Journal of Sport & Exercise Psychology, 18(1), 12–29. https://doi.org/10.1123/jsep.18.1.12
Jiang, T. T., Chen, P. L., & Xu, Y. R. (2021). A review of international applied research on flow theory. Journal of Information Resources Management, 11(5), 4–16. https://doi.org/10.13365/j.cnki.jirmj.2021.05.001
Kong, F. (2026). Pedagogical strategies to generate flow in senior high English continuation writing classrooms. Foreign Language Teaching in Schools (Secondary Edition), 49(5), 7–13.
Li, W. P. (2021). The impact of physical education classroom flow experience on university students' sustained motor learning. Zhejiang Sport Science, 43(1), 101–107. https://doi.org/10.3969/j.issn1004-3624.2021.01.022
Li, Y., Zhang, H., & Wang, L. (2023). Heterogeneous effects of digital learning flow across student subgroups: A systematic meta-analysis. Frontiers in Psychology, 14, 1270642. https://doi.org/10.3389/fpsyg.2023.1270642
Liu, D., Chang, C., & Huang, H. (2016). Examining flow experience in game-assisted language learning. Computers & Education, 103, 1–12. https://doi.org/10.1016/j.compedu.2016.09.002
Luo, D., Wu, J. H., & Zhang, Z. (2015). Flow design strategies balancing challenge and skill within information literacy educational games. Journal of Library and Information Science, 59(17), 19–25. https://doi.org/10.13266/j.cnki.0252-3116.2015.17.003
Martin, L., Duffy, J., & O'Connor, A. (2023). Scaling flow interventions in formal education: Challenges and design principles. Journal of Educational Psychology, 115(8), 1421–1438. https://doi.org/10.1037/edu0000892
Maslach, C., & Leiter, M. (2016). Understanding the burnout experience: Recent research and implications for psychiatry. World Psychiatry, 15(2), 103–111. https://doi.org/10.1002/wps.20338
Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 89–105). Oxford University Press.
Onesi-Ozigagun, O., Ogunbukola, A., & Adekoya, S. (2024). Unlocking continuous engagement in AI-driven education: An integrated model of flow experience and academic performance. SAGE Open, 14(1), 21582440241228768. https://doi.org/10.1177/21582440241228768
Rosas, D. A. (2023). Validated questionnaires in flow theory: A systematic review. Education Sciences, 13, 2769. https://doi.org/10.3390/educsci12130769
Shernoff, D. J., Csikszentmihalyi, M., Schneider, B., & Shernoff, E. S. (2003). Student engagement in high school classrooms from the perspective of flow theory. School Psychology Quarterly, 18(2), 158–176. https://doi.org/10.1521/scpq.2003.18.2.158
Sun, D. E., Zhao, Y. Y., & Shang, J. J. (2023). A systematic review of empirical research on educational games internationally (2018–2022). Open Education Research, 29(5), 106–120. https://doi.org/10.13966/j.cnki.kfzkyj.2023.05.011
Van der Linden, D., Bakker, A. B., & Salanova, M. (2021). Flow and academic performance: A three-wave longitudinal study among university students. Learning and Individual Differences, 88, 102014. https://doi.org/10.1016/j.lindif.2021.102014
Wang, X., & Liu, Q. (2022). Flow experience in virtual reality learning environments: A systematic review and meta-analysis. Frontiers in Psychology, 13, 916472. https://doi.org/10.3389/fpsyg.2022.916472
Wang, Y. G., Zhang, T., Li, W., & Liang, J. (2014). Research on core elements of educational game design based on flow theory. Journal of Distance Education, 32(3), 97–104. https://doi.org/10.13943/j.cnki.xjyjy.2014.03.013
Wang, Z., & Liu, Y. H. (2020). Flow and vocational education: Pedagogical implications drawn from Flow: The Psychology of Optimal Experience. Vocational and Technical Education, 41(9), 58–62. https://doi.org/10.3969/j.issn.1004-9290.2020.09.013
Winne, P. H., & Nesbit, J. C. (2010). The psychology of surface and deep learning. Educational Psychology Review, 22(4), 375–399. https://doi.org/10.1007/s10648-010-9140-8
Xu, J. F., & Zhao, N. S. (2024). Research on foreign language learners' flow: Theory, themes and designs. Foreign Language Teaching, 47(3), 6–13. https://doi.org/10.16362/j.cnki.cn61-1023/h.2024.03.002
Ye, Z., Li, M., & Huang, S. (2026). Scrolling to apathy? The relationship between short video addiction and the "lying flat" tendency among Chinese university students. Frontiers in Psychology, 16, 1685559. https://doi.org/10.3389/fpsyg.2026.1685559
Zhang, X. (2023). Peer pressure and web-based collaborative learning participation in higher education. Education and Information Technologies, 28(8), 9341–9360. https://doi.org/10.1007/s10639-023-11527-9
Zhang, Y. Y. (2024). Application of flow theory in classroom teaching: Pathways to enhance students' intrinsic learning motivation. Advances in Psychology, 14(4), 418–423. https://doi.org/10.12677/ap.2024.144236
Zhou, H. L., & An, Z. (2021). Pedagogical design pathways for science and engineering classrooms based on flow theory. Journal of Higher Education, 1, 82–85. https://doi.org/10.3969/j.issn.2096-000X.2021.01.026
Zhou, J., & Pan, H. J. (2025). The influence of flow experience within immersive virtual environments on student teachers' professional ethics learning. Journal of Chemical Education (Chinese & English), 46(12), 45–51. https://doi.org/10.13884/j.1003-3807.hxjy.20250035
Zito, M., Ghislandi, L., & Balconi, M. (2025). Online higher education student engagement: Finding flow. Journal of Education for Teaching. https://doi.org/10.1080/01587919.2025.2571896
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