Predicting Academic Adjustment Based on Digital Emotion Regulation and Cognitive Fatigue Caused by Online Learning

Authors

    Seyed Mohammad Sadegh Miri Vahid Department of Counseling and Educational Psychology, Boj.C., Islamic Azad University, Bojnourd, Iran
    ali Hamidi * Department of Counseling and Educational Psychology, Boj.C., Islamic Azad University, Bojnourd, Iran hamidiialii@gmail.com
    Rasoul Shakeri Department of Counseling and Educational Psychology, Boj.C., Islamic Azad University, Bojnourd, Iran

Keywords:

digital emotion regulation, cognitive fatigue, online learning, academic adjustment, cognitive reappraisal

Abstract

Objective: This study aimed to predict students’ academic adjustment based on digital emotion regulation and cognitive fatigue resulting from online learning.

Methods and Materials: This applied study employed a descriptive–correlational and predictive design. The statistical population consisted of female upper secondary school students in Ashkhaneh during the 2023–2024 academic year, from whom 294 participants were selected using multistage cluster sampling. Research instruments included the Academic Adjustment Scale, the Digital Emotion Regulation Questionnaire (assessing cognitive reappraisal and expressive suppression), and the Zoom Exhaustion and Fatigue Scale. Data were analyzed using Pearson correlation coefficients and simultaneous multiple regression analysis with SPSS version 26.

Findings: The results indicated that online cognitive fatigue was the strongest negative predictor of academic adjustment (β = −0.58, p < 0.001), whereas digital cognitive reappraisal emerged as the strongest positive predictor (β = 0.38, p < 0.001). Expressive suppression also negatively predicted academic adjustment, although with a smaller effect size (β = −0.13, p < 0.05). Overall, the regression model explained 55% of the variance in academic adjustment (R² = 0.55).

Conclusion: The findings suggest that in online learning contexts, cognitive fatigue substantially undermines students’ academic adjustment, while effective digital emotion regulation—particularly cognitive reappraisal—serves a protective and facilitative role; thus, implementing interventions focused on digital emotion regulation skills and cognitive fatigue management may enhance students’ academic adjustment in virtual learning environments.

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Published

2026-09-23

Submitted

2025-09-24

Revised

2026-01-21

Accepted

2026-01-27

Issue

Section

مقالات

How to Cite

Miri Vahid, S. M. S., Hamidi, ali, & Shakeri, R. (1405). Predicting Academic Adjustment Based on Digital Emotion Regulation and Cognitive Fatigue Caused by Online Learning. Quarterly of Experimental and Cognitive Psychology, 1-15. https://www.quarterlyecp.com/index.php/ecp/article/view/372

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