Mobile-Assisted Language Learning (MALL) for Grammar and Vocabulary Acquisition: Students’ Perspectives on ChatGPT

Authors

  • Aufilea Anak Paulus Universiti Malaysia Sabah

DOI:

https://doi.org/10.51200/ijelp.v8i1.6827

Keywords:

Mobile-Assisted Language Learning (MALL), Grammar, Vocabulary, ESL, Secondary Students, UTAUT, ChatGPT

Abstract

This research explores the perspectives of students regarding the use of ChatGPT as Mobile-Assisted Language Learning (MALL) to develop grammar and vocabulary. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study targeted 42 Form 4 students (age 16) of SMK Kolombong, Sabah. The objective was to find out their opinions on the usefulness, ease of use, social impact, and facilitation conditions of using ChatGPT, as well as their challenges. The data were obtained through a questionnaire adopted from Venkatesh et al. (2003), Chao (2019) and Almaiah et al. (2019). Findings revealed that students have high positive perceptions for all four constructs: Performance Expectancy (4.12), Effort Expectancy (4.22), Social Influence (4.55) and Facilitating Conditions (4.27).  Based on qualitative findings, students praised ChatGPT for providing fast answers and fixing grammar, while also helping them learn new words and build better sentences. They found it an easy-to-use tool that made learning English more fun and supported independent practice. These findings indicate that students are open to the potential of using ChatGPT to learn English, but it requires structural support in the form of a stable internet connection and instructor supervision to best utilize the resources. The research adds to the existing research on AI-aided language learning in Malaysian secondary schools and provides some insight into the effective incorporation of ChatGPT in the low-to-intermediate proficiency level ESL classrooms.

References

Adel, A., Ahsan, A., & Davison, C. (2024). ChatGPT promises and challenges in education: Computational and ethical perspectives. Education Sciences, 14(8), 814. https://doi.org/10.3390/educsci14080814

Alif, A., & Ngui, H. (2024). Using ChatGPT to reinforce English grammar learning among Malaysian ESL learners. International Journal of Language and Linguistics, 12(1), 55–67. https://doi.org/10.51200/ijelp.v7i1.5399

Almaiah, M., Alamri, M. M., & Al-Rahmi, M. W. (2019). Applying the UTAUT model to explain students’ acceptance of mobile learning systems in higher education. IEEE Access. https://doi.org/10.1109/ACCESS.2019.2957206

Agyei, C., & Razi, Ö. (2022). The effect of the extended UTAUT model on EFL learners’ adaptation to flipped classrooms. Education and Information Technologies, 27, 1865–1882. https://doi.org/10.1007/s10639-021-10657-2

Aydin, O., & Karaarslan, I. A. (2024). Is ChatGPT leading generative AI? What is beyond expectations? Education and Information Technologies, 29(1), 1–20. https://dergipark.org.tr/en/pub/apjess/issue/80086/1293702

Chao, M. C. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.01652

Du, J., & Daniel, K. B. (2024). Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice. Computers & Artificial Intelligence. https://doi.org/10.1016/j.caeai.2024.100230

Huy, N. N. P. (2025). The use of ChatGPT in EFL students as a learning assistant in their writing skills: A literature review. International Journal of Advanced Innovations in Learning and Education. https://doi.org/10.54855/ijaile.25213

Lo, C. K., Yu, P. L. H., & Xu, S. (2024). Exploring the application of ChatGPT in ESL/EFL education and related research issues: A systematic review of empirical studies. Smart Learning Environments. https://doi.org/10.1186/s40561-024-00342-5

Maharani, N. H., Fatimah, A., & Kurniawan, D. A. (2024). Mobile language learning applications: Enhancing vocabulary and grammar acquisition in EFL classrooms. Journal of English Language Studies, 9(1), 34–45. https://e-journal.undikma.ac.id/index.php/jollt/article/view/11041

Mohamad, M., & Woollard, J. (n.d.). Mobile learning in English language learning: An implementation strategy for secondary schools in Malaysia. Asian Journal of English Language and Pedagogy, 12(1), 45–59. https://eprints.soton.ac.uk/300062/1/Mobile_learning_in_English_Language_Learning_An_implementation_strategy_for_secondary_schools_in_Malaysia.pdf

Mokhtar, W. N. A. W., Anas, N., & Ibrahim, A. (2024). Ethical risks of using ChatGPT in higher education institutions in Malaysia. ResearchGate. https://www.researchgate.net/publication/387766204_Ethical_risks_of_using_ChatGPT_in_higher_education_institutions_in_Malaysia

Raman, A., & Rathakrishnan, M. (2018). Teachers’ awareness and acceptance of FROG VLE in Malaysian schools: Applying and extending the UTAUT model. International Journal of Mechanical Engineering and Technology (IJMET), 9(3), 529–537. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=9&IType=3

Selvanathan, B., & Narayanan, S. (2024). ChatGPT in higher education Malaysia: An opportunity or threat to the education system? International Journal of Academic Research in Progressive Education and Development, 13(3), 55–71. http://dx.doi.org/10.6007/IJARPED/v13-i3/21455

Shohor, S. A., & Hashim, H. (2024). The application of mobile-assisted language learning (MALL) in ESL classrooms: A systematic literature review (2020–2024). Asian Journal of English Language and Education, 10(1), 15–29. https://doi.org/10.12345/ajele.v10i1.1024

Trinh, K. N. (2024). The use of ChatGPT for vocabulary acquisition: A literature review. International Journal of Advanced Innovations in Learning and Education. https://doi.org/10.54855/ijaile.24121

Uddin, I., Fayyaz, N., Bilal, N., Shahid, N., & Ali, I. (2023). Getting to know ChatGPT: An introduction to implementation and working. ResearchGate. https://www.researchgate.net/publication/372890276_Getting_to_Know_ChatGPT_An_Introduction_to_Implementation_and_Working

Vo, H. N. (2020). Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers & Education. https://www.sciencedirect.com/science/article/abs/pii/S0360131519303148?via%3Dihub

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://www.researchgate.net/publication/220259897_User_Acceptance_of_Information_Technology_Toward_a_Unified_View

Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in higher education: A systematic review. SAGE Open, 14(1). https://doi.org/10.1177/21582440241229570

Published

2025-11-27

How to Cite

Paulus, A. (2025). Mobile-Assisted Language Learning (MALL) for Grammar and Vocabulary Acquisition: Students’ Perspectives on ChatGPT. International Journal on E-Learning Practices (IJELP), 8(1). https://doi.org/10.51200/ijelp.v8i1.6827
Total Views: 79 | Total Downloads: 34