The Effect of Brain-Based Feedback on Cognitive Load and Affective Factors among EFL Learners: Anxiety, Enjoyment, and Motivation

Authors

Keywords:

Brain, Based Feedback, Neuroscience, Informed Instruction, Cognitive Load, Foreign Language Anxiety, Foreign Language Enjoyment, Second, Language Motivation

Abstract

Purpose: This study aimed to investigate the effects of brain-based feedback on perceived cognitive load and key affective factors, including foreign language anxiety, foreign language enjoyment, and second-language motivation, among intermediate EFL learners.

Methods and Materials: A quasi-experimental pretest–posttest design with a control group was employed. The participants were 60 intermediate EFL learners who were assigned to an experimental group receiving brain-based feedback and a control group receiving traditional corrective feedback. The intervention was implemented over eight weeks. Grounded in Cognitive Load Theory and Control-Value Theory, brain-based feedback was designed to align feedback delivery with learners’ cognitive processing capacity and emotional responses. Data on perceived cognitive load, foreign language anxiety, enjoyment, and second-language motivation were collected before and after the intervention. Inferential statistical analyses were conducted to examine time, group, and time-by-group effects on the study variables.

Findings: A statistically significant time-by-group interaction was found for perceived cognitive load, F(1, 58) = 40.40, p < .001, ηp² = .41, indicating a substantially greater reduction in cognitive load in the experimental group than in the control group. Significant time-by-group interaction effects were also obtained for the affective variables, with partial eta-squared values ranging from .24 to .49. These effects demonstrated that participants receiving brain-based feedback experienced significantly greater reductions in foreign language anxiety and significantly greater increases in foreign language enjoyment and second-language motivation compared with learners receiving traditional corrective feedback.

Conclusion: Brain-based feedback appears to be an effective instructional approach for simultaneously reducing learners’ perceived cognitive demands and improving their affective experiences in EFL classrooms. Aligning feedback with learners’ cognitive processing capacities and emotional needs may create more supportive learning conditions, reduce anxiety, and strengthen enjoyment and motivation. These findings highlight feedback as a targeted neuroscience-informed mechanism through which classroom practices can influence learners’ internal cognitive and emotional conditions.

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References

Adiguzel, O. C., Potvin, P., & Esen, E. (2026). The Impact of Neuroscience and Artificial Intelligence on Feedback: A Systematic Review. Educational Technology Research and Development, 1-42. https://doi.org/10.1007/s11423-026-10589-z

Alkhassawneh, S., & Al Sharif, H. (2025). Perspectives of Brain Research (Educational Neuroscience) on the Design and Implementation of Teaching Strategies in Educational Technology. Journal of Neuroeducation, 5(2), 14-24. https://doi.org/10.1344/joned.v5i2.47695

Amini, D., Rahmani Asl, M., & Ghasemzadeh, A. (2025). The Impact of Brain-Based Teaching on Iranian EFL Learners' Vocabulary Retention and Recall. Journal of Modern Research in English Language Studies, 12(1), 173-196. https://doi.org/10.30479/jmrels.2024.20173.2354

Brown, H. D., & Lee, H. (2025). Principles of Language Learning and Teaching: A Course in Second Language Acquisition. Routledge. https://doi.org/10.4324/9781003494294

Dung, N. T. T. (2024). Applying Error Correction Techniques for Students at Tan Trao University in English-Speaking Lessons. International Journal of Education Humanities and Social Science, 7(4), 303-315. https://doi.org/10.54922/ijehss.2024.0769

Feng, F., & Yang, W. (2025). Effects of Learner-, Peer-, and Collaborative-Regulated Feedback on Cognitive Load in Digital Game-Based Language Learning. Education and Information Technologies, 30(6), 7807-7839. https://doi.org/10.1007/s10639-024-13119-7

Fong, C. J., & Schallert, D. L. (2023). “Feedback to the Future”: Advancing Motivational and Emotional Perspectives in Feedback Research. Educational Psychologist, 58(3), 146-161. https://doi.org/10.1080/00461520.2022.2134135

Gkintoni, E., Antonopoulou, H., Sortwell, A., & Halkiopoulos, C. (2025). Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy. Brain Sciences, 15(2), 203. https://doi.org/10.3390/brainsci15020203

Isaee, H., Barjesteh, H., & Rad, N. F. (2024). Integrating Brain-Based Learning Activities into Online TESOL Courses: Exploring Different Learning Styles. Journal of New Trends in English Language Learning (JNTELL), 3(5), 15-33. https://doi.org/10.71528/2024.06221123351

Kutasi, R. (2023). Feedback: Unveiling Its Impact and Enhancing Its Effectiveness in Education. Revista de Pedagogie, 71(2), 7-32. https://doi.org/10.26755/revped/2023.2/7

Li, J., Xue, E., Li, C., & He, Y. (2023). Investigating Latent Interactions Between Students’ Affective Cognition and Learning Performance: Meta-Analysis of Affective and Cognitive Factors. Behavioral Sciences, 13(7), 555. https://doi.org/10.3390/bs13070555

Li, S. (2023). Working Memory and Second Language Writing: A Systematic Review. Studies in Second Language Acquisition, 45(3), 647-679. https://doi.org/10.1017/s0272263123000189

Namaziandost, E., Behbahani, H. K., & Naserpour, A. (2024). Peer Support in Language Learning: Mitigating Anxiety, Enhancing Achievement, Cultivating Growth Mindsets, and Increasing Enjoyment. Journal of Applied Learning & Teaching, 7(2), 296-313. https://doi.org/10.37074/jalt.2024.7.2.40

Parayangattu, J., & Goel, S. (2024). Neuroscience and Education: A Systematic Review of Brain-Based Learning Theories and Their Influence on Teaching Methods. International Journal of Engineering Science & Humanities, 14(2), 141-151.

Parveen, N. (2025). Evidence-Based Practices of Cognitive Load Management to Enhance Learning. Psychological studies, 70(2), 374-386. https://doi.org/10.1007/s12646-025-00841-6

Pearson, W. S. (2024). Affective, Behavioural, and Cognitive Engagement with Written Feedback on Second Language Writing: A Systematic Methodological Review. Frontiers in Education, 9, 1285954. https://doi.org/10.3389/feduc.2024.1285954

Pekrun, R. (2024). Control-Value Theory: From Achievement Emotion to a General Theory of Human Emotions. Educational psychology review, 36(3), 83. https://doi.org/10.1007/s10648-024-09909-7

Pradeep, K., Sulur Anbalagan, R., Thangavelu, A. P., Aswathy, S., Jisha, V. G., & Vaisakhi, V. S. (2024). Neuroeducation: Understanding Neural Dynamics in Learning and Teaching. Frontiers in Education, 9, 1437418. https://doi.org/10.3389/feduc.2024.1437418

Putri, N. P. D. A., Wardana, I. K., & Joni, D. A. A. W. (2024). The Significance of Teacher Correction on Student Confidence and Writing Achievement. Jurnal Santiaji Pendidikan (JSP), 14(1), 66-76. https://doi.org/10.36733/jsp.v14i1.8084

Ramzan, M., Javaid, Z. K., Kareem, A., & Mobeen, S. (2023). Amplifying Classroom Enjoyment and Cultivating Positive Learning Attitudes Among ESL Learners. Pakistan Journal of Humanities and Social Sciences, 11(2), 2298-2308. https://doi.org/10.52131/pjhss.2023.1102.0522

Shiwlani, A., Hasan, S. U., & Kumar, S. (2024). Artificial Intelligence in Neuroeducation: A Systematic Review of AI Applications Aligned with Neuroscience Principles for Optimizing Learning Strategies. Journal of Development and Social Sciences, 5(4), 578-593. https://doi.org/10.47205/jdss.2024(5-IV)50

Sortwell, A., Gkintoni, E., Díaz-García, J., Ellerton, P., Ferraz, R., & Hine, G. (2026). Beyond Cognitive Load Theory: Why Learning Needs More Than Memory Management. Brain Sciences, 16(1), 109. https://doi.org/10.3390/brainsci16010109

Surbakti, R., Umboh, S. E., Pong, M., & Dara, S. (2024). Cognitive Load Theory: Implications for Instructional Design in Digital Classrooms. International Journal of Educational Narratives, 2(6), 483-493. https://doi.org/10.70177/ijen.v2i6.1659

Tan, X., Reynolds, B. L., & Ha, X. V. (2024). Oral Corrective Feedback on Lexical Errors: A Systematic Review. Applied Linguistics Review, 15(3), 1177-1221. https://doi.org/10.1515/applirev-2022-0053

Terblanche, H., Matthee, M., & De Villiers, C. (2026). The Influence of Technology-Enhanced Brain-Based Learning on the Science Understanding and Performance of First-Year Undergraduate Engineering Students. Science Education International, 37(1), 58-67. https://doi.org/10.33828/sei.v37.i1.6

Tolman, E. C. (2023). Behavior and Psychological Man: Essays in Motivation and Learning. University of California Press. https://doi.org/10.2307/jj.8306267

Ullah, A., Khan, S., & Uddin, F. (2024). The Power of Positive Emotions: Understanding How Positive Emotions Influence Cognitive Learning Processes. International Journal of Social Science Archives (IJSSA), 7(3), 676-688.

Wang, M., Wang, H., & Shi, Y. (2022). The Role of English as a Foreign Language Learners’ Grit and Foreign Language Anxiety in Their Willingness to Communicate: Theoretical Perspectives. Frontiers in psychology, 13, 1002562. https://doi.org/10.3389/fpsyg.2022.1002562

Wang, T., & Lajoie, S. P. (2023). How Does Cognitive Load Interact with Self-Regulated Learning? A Dynamic and Integrative Model. Educational psychology review, 35(3), 69. https://doi.org/10.1007/s10648-023-09794-6

Wilson, A., Ramanair, J., & Rethinasamy, S. (2024). The Effects of Brain-Based Learning Strategies on Low Ability Malaysian English as a Second Language Learners' Writing Performance. Pertanika Journal of Social Sciences & Humanities, 32(2), 345-363. https://doi.org/10.47836/pjssh.32.2.01

Winstone, N., Boud, D., Dawson, P., & Heron, M. (2022). From Feedback-as-Information to Feedback-as-Process: A Linguistic Analysis of the Feedback Literature. Assessment & Evaluation in Higher Education, 47(2), 213-230. https://doi.org/10.1080/02602938.2021.1902467

Zhou, L., Xi, Y., & Lochtman, K. (2023). The Relationship Between Second Language Competence and Willingness to Communicate: The Moderating Effect of Foreign Language Anxiety. Journal of Multilingual and Multicultural Development, 44(2), 129-143. https://doi.org/10.1080/01434632.2020.1801697

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Jafari Mehr , S., Fatehi Rad, N., & Shahabi , H. . (2026). The Effect of Brain-Based Feedback on Cognitive Load and Affective Factors among EFL Learners: Anxiety, Enjoyment, and Motivation. Iranian Journal of Neurodevelopmental Disorders, 1-18. https://www.maherpub.com/index.php/jndd/article/view/944