Exploring Students’ Use of AI-Assisted Tools for Autonomous Vocabulary Learning: A Case Study in Secondary Education

Authors

  • Lia Syafiun Nada ID Universitas Negeri Malang
  • Siusana Kweldju ID Universitas Negeri Malang
  • Ekaning Dewanti Laksmi ID Universitas Negeri Malang

DOI:

https://doi.org/10.36312/jolls.v6i3.5885

Keywords:

Autonomous vocabulary learning, Artificial intelligence, Vocabulary learning

Abstract

Vocabulary learning is a gradual process that requires students' autonomy to support their vocabulary development. Metacognitive strategies encourage students to plan, monitor, and evaluate their learning progress. Furthermore, in the digital era, AI-assisted tools can support students to maintain self-regulated learning. Using a case study design, this inquiry uses interviews and questionnaires to collect data from a group of senior high school students. Twenty students participated in the investigation during a four-week implementation of a metacognitive strategy in a narrow reading program. The questionnaire was distributed before and after the program. To capture students' experiences during the program, students were instructed to write a reading journal. All data sources were analyzed descriptively. The results show that most senior high school students are familiar with using ChatGPT and Google Gemini. Indeed, in the context of vocabulary lookup, they have utilized the combination of Google Lens and Google Translate. The way students use AI-assisted tools has varied according to their level of proficiency. Students with limited vocabulary coverage used AI tools to improve their comprehension. Conversely, students with a sufficient vocabulary level used AI as a partner to enrich their knowledge and learn vocabulary productively. These findings yield two instructional implications: first, teachers need to guide students in using AI responsibly while integrating it into the learning process. Second, having access to AI tools is not enough; students must be prepared to become autonomous learners so they become lifelong learners.

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Author Biographies

  • Lia Syafiun Nada, Universitas Negeri Malang

    English Department, Faculty of Letters, Universitas Negeri Malang. Jln. Semarang No. 5, Malang, East Java, Indonesia 

  • Siusana Kweldju, Universitas Negeri Malang

    English Department, Faculty of Letters, Universitas Negeri Malang. Jln. Semarang No. 5, Malang, East Java, Indonesia 

  • Ekaning Dewanti Laksmi, Universitas Negeri Malang

    English Department, Faculty of Letters, Universitas Negeri Malang. Jln. Semarang No. 5, Malang, East Java, Indonesia 

References

Adu, P. (2024). A step-by-step guide to qualitative data coding. Routledge.

Ary, D., Jacobs, L. C., & Sorensen, C. (2010). Introduction to research in education (8th ed.). Wadsworth Cengage Learning.

Benson, P. (2011). Teaching and researching autonomy in language learning (2nd ed.). Routledge.

Braun, V., & Clarke, V. (2013). Successful qualitative research: A practical guide for beginners. SAGE Publications.

Diantri, N. L. F., Utami, I. G. A. L. P., & Artini, N. N. (2025). A systematic literature review of ChatGPT for vocabulary mastery. Edu Society: Jurnal Pendidikan, Ilmu Sosial, dan Pengabdian Kepada Masyarakat, 5(3), 2532–2543. https://doi.org/10.56832/edu.v5i3.2698

Holec, H. (1981). Autonomy and foreign language learning. Pergamon.

Irnawati, Fatmawati, Y., Mahardhika, I. K., & Suratno. (2024). The ethics of using artificial intelligence (AI) in learning in a philosophical perspective. International Journal of Education, Information Technology, and Others, 7(4), 319–330.

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868

Kundu, A., & Bej, T. (2024). Transforming school EFL teaching with AI: A systematic review of empirical studies. https://doi.org/10.21203/rs.3.rs-4805086/v1

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

Maina, L. (2025). Artificial intelligence (AI) promise for equitable education in emerging economies. https://doi.org/10.21203/rs.3.rs-7216045/v1

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE Publications.

Mustafa, R., & Dharmawan, Y. Y. (2026). Artificial intelligence generated summaries as digital scaffolds to support learners’ discourse level comprehension of complex texts in an Indonesian senior high school. Journal of English Language and Education, 11(2), 611–627. https://doi.org/10.31004/jele.v11i2.2228

Nation, I. S. P. (2001). Learning vocabulary in another language. Cambridge University Press.

Nation, I. S. P. (2013). Learning vocabulary in another language (2nd ed.). Cambridge University Press.

Purnama, Y., Fransiska, F. W., Muhdi, A., Muflihah, & Meisarah, F. (2024). Long-term effects evaluation of using artificial intelligence-based automated learning systems in improving English content understanding at the secondary education level. Indonesian Journal of Education (INJOE), 3(3), 622–636.

Sawaguchi, R. (2026). ChatGPT as a facilitator of vocabulary learning strategy use for lexical bundles across different difficulty levels. Vocabulary Learning and Instruction, 15. https://doi.org/10.29140/vli.2026.102978

Schmitt, N. (2010). Researching vocabulary: A vocabulary research manual. Palgrave Macmillan.

Stepien, P. (2025). AI-powered flashcards for autonomous learners: Unpacking ChatGPT’s vocabulary cards through corpus linguistics. Malmö University.

Sun, L., Jin, F., Zhou, K., Cheung, W. M., & Lin, C. (2025). From clueless to confident: How ChatGPT transforms academic writing in Chinese as a second language. International Journal of Applied Linguistics. https://doi.org/10.1111/ijal.12849

Yang, H., Kim, H., Lee, J. H., & Shin, D. (2022). Implementation of an AI chatbot as an English conversation partner in EFL speaking classes. ReCALL, 34(3), 327–343. https://doi.org/10.1017/S0958344022000039

Yilmaz, M. (2025). Artificial intelligence in vocabulary instruction within EFL contexts: A systematic review (2020–2025). ICERI2025 Proceedings, 2797–2806. https://doi.org/10.21125/iceri.2025.0895

Zarobe, Y. R. d., & Smala, S. (2020). Metacognitive awareness in language learning strategies and strategy instruction in CLIL settings. Journal for the Psychology of Language Learning, 2(2), 20–35. https://doi.org/10.52598/jpll/2/2/3

Zawacki-Richter, O., Marin, 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, Article 39. https://doi.org/10.1186/s41239-019-0171-0

Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.

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Published

2026-09-15

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Articles

How to Cite

Nada, L. S. ., Kweldju, S. ., & Laksmi, E. D. . (2026). Exploring Students’ Use of AI-Assisted Tools for Autonomous Vocabulary Learning: A Case Study in Secondary Education. Journal of Language and Literature Studies, 6(3), 1434-1447. https://doi.org/10.36312/jolls.v6i3.5885