Blending AI Tools with Task-Based Learning in English Education: Opportunities and Challenges

Artificial Intelligence (AI) has introduced new opportunities for innovation in English Language Education. However, Task-Based Learning (TBL) remains as a widely known pedagogical approach that promotes communicative competence through a meaningful, real-life tasks. This concept paper proposes to investigate the integration of AI tools into task-based English instruction, with a focus on their effectiveness in supporting task performance. This paper has specific purposes which to address the impact of AI-assisted tasks on students’ language proficiency, students’ perceptions of AI and the challenges encountered by both students and lecturers in blending AI tools with the task in the classroom. A mixed-method design will be implemented, combining pre-task and post task assessment, questionnaires for students and interview sessions for the lecturers. It is expected that AI tools will improve students’ fluency and motivation while also presenting potential concerns related to over-reliance and ethical use. The findings are expected to offer helpful feedback to educators, curriculum designers, and institutions regarding the effective and balanced integration of AI within task-based English education.

Artificial Intelligence (AI), Task-Based Learning (TBL)

1. Bachman, L. (2002). Some reflections on task-based language performance assessment. Language Testing, 19(4), 453-476. [Google Scholar] [Crossref]

2. Digital Education Council. (2024, August 7). What students want: Key results from DEC global AI student survey 2024. https://www.digitaleducationcouncil.com/post/what-students-want-key-results-from-dec-global-ai-student-survey-2024 [Google Scholar] [Crossref]

3. Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. [Google Scholar] [Crossref]

4. Huang, R., Spector, J. M., & Yang, J. (2022). Educational technology: A primer for the 21st century. Springer. [Google Scholar] [Crossref]

5. Li, X., Chen, G., & Zhao, R. (2021). Artificial intelligence in language education: A systematic review. Computer Assisted Language Learning, 34(3), 409–433. https://doi.org/10.1080/09588221.2019.1648849 [Google Scholar] [Crossref]

6. Long, M.H. (1985). A role for instruction in second language acquisition: Task-based language teaching. In K. Hyltenstam & M. Pienemann (Eds.), Modelling and Assessing Second Language Acquisition. Clevedon: Multilingual Matters [Google Scholar] [Crossref]

7. Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. https://discovery.ucl.ac.uk/id/eprint/1475756/ [Google Scholar] [Crossref]

8. Nissa, Khairun & Mardiah, Henny & Novita, Srikandi. (2025). Using Artificial Intelligence in Task-Based Language Teaching to Foster Students’ Language Skills. Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara. 17. 90-102. 10.37640/jip.v17i1.2372. [Google Scholar] [Crossref]

9. Norris, J. M. (2009). Task-based teaching and testing. In M. H. Long & C. J. Doughty (Eds.), Handbook of language teaching (pp. 578–594). Oxford: Blackwell. [Google Scholar] [Crossref]

10. Robinson, P. (2011). Task-based language learning: A review of issues. Language Learning, 1–36. Doi: 10.1111/j.1467-9922.2011. 00641.x [Google Scholar] [Crossref]

11. Willis, D. & Willis, J. (2009). Task-based language teaching: Some questions and answers. The Language Teacher, 33(3), 3-8. https://jalt-publications.org/tlt/articles/562-special-issue-task-based-learning-somequestions-and-answers [Google Scholar] [Crossref]

12. Xiaojing Huang, Yanyan Wu, Anqi Dou. AI-Enhanced Task-Based Language Teaching: Fostering Personalized College English Learning. Frontiers in Educational Research (2024) Vol. 7, Issue 10: 204-209. https://doi.org/10.25236/FER.2024.071033. [Google Scholar] [Crossref]

13. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0APA 7th Edition, arrange them in alphabetical order [Google Scholar] [Crossref]

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