
info@juzhikan.asia
Xi’an International Studies University, Xi’an City, Shaanxi Province, 710000;
Abstract: As the foreign language acquisition era unfolds, learners’ flow during English learning has drawn increasing attention—a core construct that reflects optimal cognitive engagement and efficient processing in second language (L2) digital reading. Yet prior research on flow suffers from three key limitations: an overreliance on subjective self-reports, a lack of sufficient objective behavioral evidence, and inadequate validation in controlled L2 digital reading environments. To overcome these gaps, Teng and Zhang (2025) employed a mixed-methods approach, combining eye-tracking technology with psychological scales, to examine the flow experiences of Chinese college students engaged in L2 digital reading. Specifically, their study centered on three fundamental questions: what subjective perceptual and objective behavioral features define flow, which factors influence it, and how it relates to reading performance.This research advances flow measurement by developing a dual-dimensional framework that integrates subjective scales and objective eye-movement indicators. Empirically, it confirms the applicability of the “challenge-skill balance” principle (Fong et al., 2015) in L2 digital reading contexts, identifies language proficiency, perceived text difficulty, and interest as key predictors of flow, and uncovers unique eye-movement patterns associated with flow states. Building on these empirical findings, the present paper critically evaluates the contextual appropriateness and methodological rigor of Teng and Zhang’s (2025) study, clarifies its theoretical and empirical contributions to both L2 digital reading and flow research, and proposes context-specific, methodologically sound directions for future research—all aimed at enhancing the reliability, validity, and generalizability of flow studies in this domain.
Keywords: second language acquisition; flow; foreign language digital reading; eye-tracking
References
[1]Fong, C. J., Zaleski, D. J., & Leach, J. K. (2015). The challenge–skill balance and antecedents of flow: A meta-analytic investigation. The Journal of Positive Psychology, 10(5), 425-446.
[2]Huang, Y. Y., Liu, C. C., Wang, Y., Tsai, C. C., & Lin, H. M. (2017). Student engagement in long-term collaborative EFL storytelling activities: An analysis of learners with English proficiency differences. Journal of Educational Technology & Society, 20(3), 95-109.
[3]Egbert, J. (2004). A study of flow theory in the foreign language classroom. Canadian modern language review, 60(5), 549-586.
[4]Jia, F., Meng, J., Ma, Y., & Mao, Y. (2024). Flow experience and self-efficacy in undergraduates’ English learning: A weekly diary investigation with cross-lagged panel modeling approach. System, 123, 103312.
[5]Kirchhoff, C. (2013). L2 extensive reading and flow: Clarifying the relationship. Reading in a foreign language, 25(2), 192-212.
[6]Liu, H., & Song, X. (2021). Exploring “Flow” in young Chinese EFL learners’ online English learning activities. System, 96, 102425.
[7]Thissen, B. A., Menninghaus, W., & Schlotz, W. (2018). Measuring optimal reading experiences: The reading flow short scale. Frontiers in Psychology, 9, 2542.
[8]Cho, M. (2018). Task complexity and modality: Exploring learners’ experience from the perspective of flow. The Modern Language Journal, 102(1), 162-180.
[9]Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and instruction, 4(4), 295-312.
[10]Zare-ee, A. (2013). The experience of the psychological state of flow: The relationship between flow and undergraduate reading in English as a foreign language. International Journal of Psychology (IPA), 7(1).
[11]Wang, X., & Huang, C. (2022). Conceptualization and measurement of flow in a Chinese blended English as a foreign language learning context. Frontiers in Psychology, 13, 839267.
[12]Csikszentmihalyi, M., (1990). Flow: The psychology of optimal experience (Vol. 1990, p. 1). New York: Harper & Row.
[13]Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications.
[14]Cohen, J. (2013). Statistical power analysis for the behavioral sciences. routledge.
[15]Noorbakhsh, F., Ghonsooly, B., & Ghanizadeh, A. (2018). Examining a Flow Driven Program in Reading Skill and its Relation to Higher-order Reading Skill (Inference-making) and Self-efficacy. International Journal of Educational Investigations, 5(1), 1-22.
[16]Thissen, B. A., Menninghaus, W., & Schlotz, W. (2018). Measuring optimal reading experiences: The reading flow short scale. Frontiers in Psychology, 9, 2542.
[17]Gao Yulei, Zhang Zhiyi, and Ni Chuanbin. (2022). The Experience of Flow in Foreign Language Reading and Its Relationship to Reading Performance. Foreign Language World, 3, 70–78.
[18]Li Chengchen, Li Wei, and Jiang Guiying. (2024). Research on Emotions in Second Language Learning: A Review and Outlook. Modern Foreign Languages, 47(1), 63–75.
[19]Yan Guoli, Xiong Jianping, Zang Chuanli, Yu Lili, Cui Lei, and Bai Xuejun. (2013). A Review of Key Eye-Tracking Measures in Reading Research. Advances in Psychological Science, 21(4), 589.
[20]Ma, Y. (2024). The Pleasure of Digital Reading from the Perspective of Flow Theory: Influencing Factors and Guidance Strategies. Library Theory and Practice, (04), 51–58.
[21]Teng Lin, Zhang Yuyang. (2025). A Study on the Experience of Flow in Digital Foreign Language Reading: An Exploration Based on Eye-Tracking. Foreign Language Guide, 48 (03), 40–49+159.