Investigating  EFL Students’ Perception of AI- Powered Learning Assistance

Kurnia Febianti; Ricky Yakob; Yoga Pratama

doi:10.61276/loqula.v3i2.85

Authors

Kurnia Febianti STKIP Muhammadiyah Pagaralam
Ricky Yakob SMP Muhammadiyah Ciputat
Yoga Pratama STKIP Muhammadiyah Pagaralam

DOI:

https://doi.org/10.61276/loqula.v3i2.85

Abstract

This study investigates EFL learners’ perceptions of the integration of artificial intelligence (AI) into English language learning. The rapid advancement of AI has significantly influenced various aspects of social life, including education, where AI-based tools are increasingly utilized to support learning activities. This research aims to explore students’ perspectives on the effectiveness, benefits, and challenges of AI applications in English learning. A descriptive was employed, using a Likert-scale closed-ended questionnaire and open-ended questions as instruments for data collection. The participants consisted of students from the English Department of STKIP Muhammadiyah Pagaralam. The findings reveal that students generally have positive perceptions of AI applications in learning English. Most respondents agree that AI facilitates the learning process, enhances efficiency, and supports the development of language skills through features such as translation, grammar checking, and pronunciation assistance. However, several challenges were also identified, including inaccurate outputs and limited accessibility due to poor internet connectivity. In conclusion, AI applications serve as effective tools in EFL learning by accelerating the learning process and improving learning efficiency, although technical and reliability issues remain important considerations for their optimal use.

Keywords:

Artificial Intelegent (AI) , EFL Learners , English Students

References

Alghamdi, A. (2023). The impact of artificial intelligence on vocabulary acquisition in language learning. Journal of Educational Technology, 15(2), 45–60

Arini, D,N., Hidayat, F., Winarti,A& Rosalina, E. (2022). Artificial intelligence (AI)-based mobile learning in ELT for EFL learners: The implementation and learners' attitudes:Tinternational journal of educational studies in social sciences. 2(2)

Chen, T. (2023). ChatGPT and other artificial intelligence applications speed up scientific writing. Journal of the Chinese Medical Association, 86(4), 351–353. https://doi.org/10.1097/jcma.0000000000000900

Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.

Dewi, C. (2022). Digital literacy analysis of elementary school students through implementation of e-learning based learning management system. Journal of Education Technology, 6(2), 199–206. https://doi.org/10.23887/jet.v6i2.44160

Fitria, T. N. (2021). QuillBot as an online tool: Students’ alternative in paraphrasing and rewriting of English writing. Englisia/Englisia : Journal of Language, Education and Humanities, 9(1), 183. https://doi.org/10.22373/ej.v9i1.10233

Hartono, W. J., Nurfitri, N., Ridwan, R., Kase, E. B. S., Lake, F., & Zebua, R. S. Y. (2023). Artificial intelligence (AI) solutions in English language teaching: Teachers-students perceptions and experiences. jonedu.org. https://doi.org/10.31004/joe.v6i1.3101

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. https://www.jstor.org/stable/48707971

Liu, C., Hou, J., Tu, Y., Wang, Y., & Hwang, G. (2021). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments. Interactive Learning Environments, 31(9), 5614–5632. https://doi.org/10.1080/10494820.2021.2012812

Medvedev, G. (2016). Google translate in teaching english. Journal of Teaching English for Specific and Academic Purposes, 4(1), 181–193. http://espeap.junis.ni.ac.rs/index.php/espeap/article/view/318/221

Pandarova, I., Schmidt, T., Hartig, J., Boubekki, A., Jones, R. D., & Brefeld, U. (2019). Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language tutoring. International Journal of Artificial Intelligence in Education, 29(3), 342–367. https://doi.org/10.1007/s40593-019-00180-4

Rahayu, S., & Pujiyono, W. (2017). Media pembelajaran kecerdasan buatan pokok bahasan metode pelacakan menggunakan multimedia pada e-learning. JSTIE (Jurnal Sarjana Teknik Informatika) (E-Journal), 5(1), 136–145. https://doi.org/10.12928/jstie.v5i1.10824

Ribeiro, J. (2021). A.I. in 2020: A year writing about artificial intelligence. Independently published.

Sugiyono (2013) .Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif Dan R&D Prof. DR. Sugiyono. Alfabeta.

Suryana, I., Asrianto, A., & Murwantono, D. (2020). Artificial intelligence to master english listening skills for non-english major students. Journal of Languages and Language Teaching, 8(1), 48. https://doi.org/10.33394/jollt.v8i1.2221

Thompson, A. D. (2022). What’s in my AI? A comprehensive analysis of datasets used to train GPT-1, GPT-2, GPT-3, GPT-NeoX-20B, Megatron-11B, MT-NLG, and Gopher. https://LifeArchitect.ai/whats-in-my-ai

Wang, L and Hu, X. (2020). The role of AI in English teaching: Current applications and future directions. International Journal of Artificial Intelligence in Education, 30(4), 688–706

Williams, K., & Davis, M. (2017). Referencing & understanding plagiarism. https://doi.org/10.1057/978-1-137-53072-1

Wu, S., & Wang, F. (2021). Artificial intelligence-based simulation research on the flipped classroom mode of listening and speaking teaching for English majors. Journal of Mobile Information Systems, 2021, 1–14. https://doi.org/10.1155/2021/4344244

Zhang, X., & Chen, L. (2021). College English smart classroom teaching model based on artificial intelligence technology in mobile information systems. Journal of Mobile Information Systems, 2021, 1–12. https://doi.org/10.1155/2021/5644604

Zhang, Y., Wang, H., & Liu, Q. (2024). Student dependency on artificial intelligence tools in higher education: Impacts on learning autonomy. Educational Technology Research and Development, 72(1), 45–62.