AI-ASSISTED DIFFERENTIATED INSTRUCTION AND EFL WRITING MOTIVATION: A CORRELATIONAL STUDY
DOI:
https://doi.org/10.46991/AFA/2026.SI-2.74Keywords:
AI-assisted instruction, differentiated instruction, intrinsic motivation, EFL writing, correlational studyAbstract
The integration of artificial intelligence (AI) for learning personalization has emerged as an approach to address diverse learner needs. This quantitative correlational study examined the relationship between the perceived value of AI-assisted differentiated instruction and task motivation (intrinsic and extrinsic) among first-year English as a Foreign Language (EFL) students at Batna-2 University. A convenience sample of 120 students participated in the study, completing a questionnaire measuring perceived value of AI-assisted differentiated instruction and task motivation in EFL writing. Descriptive statistics revealed moderate levels of perceived value and task motivation. Pearson correlation analysis indicated a significant positive correlation between perceived value of AI-assisted differentiated instruction and overall task motivation. Additionally, separate analyses showed stronger correlations with intrinsic motivation than extrinsic motivation. These findings suggest that students who perceive greater value in AI-assisted differentiated instruction demonstrate higher levels of motivation in EFL writing tasks.
Downloads
References
Achmad, N., Hulukati, E., Pomalato, S. W., & Djafri, N. (2024). Development of an AI-based differentiated learning module for Quran-memorizing students to enhance mathematics achievement and motivation in elementary education. PPSDP International Journal of Education, 3(2), 646-658. https://doi.org/10.59175/pijed.v3i2.351
Alharbi, M. A. (2019). EFL university students' voice on challenges and solution in learning academic writing. Indonesian Journal of Applied Linguistics, 8(3), 577-588. https://doi.org/10.17509/ijal.v8i3.15276
Brown, H. D. (2014). Principles of language learning and teaching. Pearson Education.
Chiu, T. K. F., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 32(7), 3240-3256. https://doi.org/10.1080/10494820.2023.2172044
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology/ Psychologie Canadienne, 49(3), 182-185. https://doi.org/¬10.1037/¬¬¬a0012803
Dörnyei, Z. (2019). Towards a better understanding of the L2 learning experience, the Cinderella of the L2 motivational self system. Studies in Second Language Learning and Teaching, 9, 19-30. https://doi.org/10.14746/ssllt.2019.9.1.2
Dörnyei, Z., & Ushioda, E. (2013). Teaching and researching: Motivation. Routledge. https://doi.org/10.4324/9781315833750
Gligorea, I., Cioca, M., Oancea, R., Gorski, A.-T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/-educsci13121216
Graham, S., & Harris, K. R. (2019). Evidence-based practices in writing. Best practices in writing instruction, 3, 3-28.
Hyland, K. (2016). Teaching and researching writing. Routledge. https://doi.org/10.4324/¬9781315717203
Ling, W. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
Pekrun, R. (2024). Control-value theory: From achievement emotion to a general theory of human emotions. Educational Psychology Review, 36(3), 83.
Richards, J. C. (2015). Key issues in language teaching. Cambridge University Press.
Ryan, R. M., & Deci, E. L. (2000). 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. (2017). Self-determination theory: Basic psychological needs in motivation, development and wellness. Guilford Press.
Tomlinson, C. A. (2014). The differentiated classroom: Responding to the needs of all learners. Association for Supervision and Curriculum Development (ASCD).
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Yoo, S. J., Han, S., & Huang, W. (2012). The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea. Computers in Human Behavior, 28(3), 1017-1026. https://doi.org/10.1016/j.chb.2011.12.015
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Bouchra Si-Mohammed, Souhila Hellalet

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.












