Artificial Intelligence for Writing Enhancement: Exploring Learners’ Motivation and Perceptions of AI Generated Feedback through Cambridge Write & Improve

The incorporation of Artificial Intelligence (AI) into language instruction has offered possibilities for enhancing English as A Second Language (ESL) learners’ writing proficiency and motivation. This study investigates the impact of AI-generated feedback on learners’ motivation in English writing using the Cambridge Write & Improve platform. This study was designed to explore the extent to which AI-generated feedback can improve learners’ motivation in four constructs: self-efficacy, persistence, engagement and autonomy. A mixed-method design was employed in this study with 30 Year 5 ESL learners with mixed abilities in English writing from an urban Chinese vernacular primary school in Johor, Malaysia. A writing pre-test and post-test, a 5-point Likert Scale motivation questionnaire and semi-structured interviews were used to collect the data. The data from pre-test, post-test and questionnaire were analyzed using SPSS and subsequently triangulated with data from semi-structured interviews. Findings revealed a measurable improvement in writing performance with learners achieving higher grades in post-intervention writing test. Learners also reported to develop greater writing motivation with increased self-efficacy, sustained engagement, greater persistence in writing tasks and enhanced learner autonomy in revising written essays. The study demonstrated that AI feedback indeed supported writing skill development and strengthened motivational drives among ESL learners. These findings also address a significant gap in literature pertaining to learner motivation in relation to AI-supported tools to improve writing coherence. Further research can be conducted across different AI writing tools and explore cross-contextual implementations to determine the impact of AI-generated feedback on learners’ writing motivation and writing proficiency.

Artificial Intelligence, ESL Writing, Learner Motivation, Cambridge Write & Improve

1. Abdullah, M. Y. (2025). Probing into EFL students’ perceptions about the impact of utilizing AI-powered tools on their academic writing practices. Education and Information Technologies, 1-32. [Google Scholar] [Crossref]

2. Afzaal, M., Nouri, J., Zia, A., Papapetrou, P., Fors, U., Wu, Y., & Weegar, R. (2021). Explainable AI for data-driven feedback and intelligent action recommendations to support students’ self-regulation. Frontiers in Artificial Intelligence, 4, 723447. https://doi.org/10.3389/frai.2021.723447 [Google Scholar] [Crossref]

3. Almulla, M. A., & Al-Rahmi, W. M. (2023). Integrated social cognitive theory with learning input factors: The effects of problem-solving skills and critical thinking skills on learning performance sustainability. Sustainability, 15(5), 3978. [Google Scholar] [Crossref]

4. Asad, M. M., Shahzad, S., Shah, S. H. A., Sherwani, F., & Almusharraf, N. M. (2024). ChatGPT as artificial intelligence-based generative multimedia for English writing pedagogy: challenges and opportunities from an educator’s perspective. The International Journal of Information and Learning Technology, 41(5), 490-506. [Google Scholar] [Crossref]

5. De Smedt, F., Landrieu, Y., De Wever, B., & Van Keer, H. (2023). The role of writing motives in the interplay between implicit theories, achievement goals, self-efficacy, and writing performance. Frontiers in Psychology, 14, 1149923. [Google Scholar] [Crossref]

6. ElSayary, A. (2024). An investigation of teachers’ perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931–945. https://doi.org/10.1111/jcal.12926 [Google Scholar] [Crossref]

7. Frenkenberg, A., & Hochman, G. (2025). It’s scary to use it, it’s scary to refuse it: the psychological dimensions of AI adoption—anxiety, motives, and dependency. Systems, 13(2), 82. [Google Scholar] [Crossref]

8. Graham, S., & Alves, R. A. (2021). Research and teaching writing. Reading and Writing, 34(7), 1613-1621. [Google Scholar] [Crossref]

9. Graham, S., Harbaugh-Schattenkirk, A. G., Aitken, A., Harris, K. R., Ng, C., Ray, A., ... & Wdowin, J. (2022). Writing motivation questionnaire: validation and application as a formative assessment. Assessment in Education: Principles, Policy & Practice, 29(2), 238-261. [Google Scholar] [Crossref]

10. Hamann, K. R., Wullenkord, M. C., Reese, G., & Van Zomeren, M. (2024). Believing that we can change our world for the better: A Triple-A (Agent-Action-Aim) Framework of self-efficacy beliefs in the context of collective social and ecological aims. Personality and Social Psychology Review, 28(1), 11-53. [Google Scholar] [Crossref]

11. Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society, 26(1), 112-131. [Google Scholar] [Crossref]

12. Jin, S. H., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education, 20(1), 37. [Google Scholar] [Crossref]

13. Khamis, N., Yunus, M. M., & Mansor, A. Z. (2024). Language learning strategies used by Malaysian ESL students to improve English communication: A systematic literature review. International Journal of Learning, Teaching and Educational Research, 23(2), 461-477. [Google Scholar] [Crossref]

14. Khan, A. S., & Khan, A. (2024). Overcoming Writing Challenges: The Use of Ai-Powered Writing Assistants and Online Collaboration Tools in Foreign Language Education. Journal of International Crisis and Risk Communication Research, 7(2), 314. [Google Scholar] [Crossref]

15. Kleppang, A. L., Steigen, A. M., & Finbråten, H. S. (2023). Explaining variance in self-efficacy among adolescents: the association between mastery experiences, social support, and self-efficacy. BMC public health, 23(1), 1665. [Google Scholar] [Crossref]

16. Kormos, J. (2023). The role of cognitive factors in second language writing and writing to learn a second language. Studies in Second Language Acquisition, 45(3), 622-646. [Google Scholar] [Crossref]

17. Liu, C., Hou, J., Tu, Y. F., Wang, Y., & Hwang, G. J. (2023). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments. Interactive Learning Environments, 31(9), 5614-5632. [Google Scholar] [Crossref]

18. Liu, C. C., Hwang, G. J., Yu, P., Tu, Y. F., & Wang, Y. (2025). Effects of an automated corrective feedback-based peer assessment approach on students’ learning achievement, motivation, and self-regulated learning conceptions in foreign language pronunciation. Educational technology research and development, 1-22. [Google Scholar] [Crossref]

19. McGrew, K. S. (2022). The cognitive-affective-motivation model of learning (CAMML): Standing on the shoulders of giants. Canadian Journal of School Psychology, 37(1), 117–134. [Google Scholar] [Crossref]

20. Mohammed, S. J., & Khalid, M. W. (2025). Under the world of AI-generated feedback on writing: Mirroring motivation, foreign language peace of mind, trait emotional intelligence, and writing development. Language Testing in Asia, 15(1), 7. [Google Scholar] [Crossref]

21. Mohebbi, A. (2025). Enabling learner independence and self-regulation in language education using AI tools: a systematic review. Cogent Education, 12(1), 2433814. [Google Scholar] [Crossref]

22. Nation, K., Dawson, N. J., & Hsiao, Y. (2022). Book language and its implications for children’s language, literacy, and development. Current Directions in Psychological Science, 31(4), 375-380. [Google Scholar] [Crossref]

23. Sari, E., & Han, T. (2024). The impact of automated writing evaluation on English as a foreign language learners' writing self‐efficacy, self‐regulation, anxiety, and performance. Journal of Computer Assisted Learning, 40(5), 2065-2080. [Google Scholar] [Crossref]

24. Tao, Y., & Yu, J. (2024). Cultural threads in writing mastery: A structural analysis of perfectionism, learning self-efficacy, and motivation as mediated by self-reflection in Chinese EFL learners. BMC psychology, 12(1), 80. [Google Scholar] [Crossref]

25. Teng, L. S. (2024). Individual differences in self-regulated learning: Exploring the nexus of motivational beliefs, self-efficacy, and SRL strategies in EFL writing. Language Teaching Research, 28(2), 366-388. [Google Scholar] [Crossref]

26. Wang, D. (2024). Teacher-versus AI-generated (Poe application) corrective feedback and language learners’ writing anxiety, complexity, fluency, and accuracy. International Review of Research in Open and Distributed Learning, 25(3), 37-56. [Google Scholar] [Crossref]

27. Wiboolyasarin, W., Wiboolyasarin, K., Suwanwihok, K., Jinowat, N., & Muenjanchoey, R. (2024). Synergizing collaborative writing and AI feedback: An investigation into enhancing L2 writing proficiency in wiki-based environments. Computers and Education: Artificial Intelligence, 6, 100228. [Google Scholar] [Crossref]

28. Woreta, G. T., Zewude, G. T., & Józsa, K. (2025). The Mediating Role of Self-Efficacy and Outcome Expectations in the Relationship Between Peer Context and Academic Engagement: A Social Cognitive Theory Perspective. Behavioral Sciences, 15(5), 681. [Google Scholar] [Crossref]

29. Wu, X., Yang, H., Liu, J., & Liu, Z. (2022). English use anxiety, motivation, self-efficacy, and their predictive effects on Chinese top university students’ English achievements. Frontiers in Psychology, 13, 953600. [Google Scholar] [Crossref]

30. Yunus, M. M., Thambirajah, V., Said, N. E. M., & Singh, C. K. S. (2021). Designing a module as a strategic solution to enhance creativity in the teaching of writing. International Journal of English Language and Literature Studies, 10(2), 94-104. [Google Scholar] [Crossref]

31. Zhang, X., & Zhang, R. (2023). Feedback, response, and learner development: A sociocultural approach to corrective feedback in second language writing. SAGE Open, 13(1), 21582440231157680. https://doi.org/10.1177/21582440231157680 [Google Scholar] [Crossref]

32. Zogmaister, C., & Maricutoiu, L. P. (2022). Mirror, mirror on the wall, tell me that I have succeeded at it all: Self-esteem and the defensive mechanisms against failure. Social Psychology of Education, 25(5), 1221-1248. [Google Scholar] [Crossref]

33. Zou, D., Xie, H., & Wang, F. L. (2023). Effects of technology enhanced peer, teacher and self-feedback on students’ collaborative writing, critical thinking tendency and engagement in learning. Journal of Computing in Higher Education, 35(1), 166-185. [Google Scholar] [Crossref]

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