EXPLORING STUDENTS' PERCEPTIONS IN THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY THE INFLUENCE OF CHATGPT ON LANGUAGE LEARNING
Abstract
This study explore students' perceptions of using ChatGPT as a tool for English language learning, focusing on ease of use, its impact on learning, and challenges encountered. Using a qualitative approach, data were collected through semi-structured interviews with 16 EFL students from the State Islamic Institute of Palangka Raya. Thematic analysis revealed that ChatGPT’s simple interface and quick response support its adoption. Respondents reported improvements in vocabulary acquisition and grammar understanding, although pronunciation features were deemed inadequate. Additionally, ChatGPT enhanced learning motivation through interactive experiences, although free account access limitations posed challenges. This study recommends the development of audio-based features for pronunciation and the integration of ChatGPT into curricula with appropriate guidance. These findings provide valuable insights for educators, technology developers, and policymakers to optimize the use of AI in education.
References
Barrera Castro, G. P., Chiappe, A., Becerra Rodriguez, D. F., & Sepulveda, F. G. (2024). Harnessing AI for Education 4.0: Drivers of Personalized Learning. Electronic Journal of E-Learning, 22(5), 01–14. https://doi.org/10.34190/ejel.22.5.3467
C. Meniado, J. (2023). The Impact of ChatGPT on English Language Teaching, Learning, and Assessment: A Rapid Review of Literature. Arab World English Journal, 14(4), 3–18. https://doi.org/10.24093/awej/vol14no4.1
Chen, L. (2024). Unlocking the Beat: How AI Tools Drive Music Students’ Motivation, Engagement, Creativity and Learning Success. European Journal of Education, e12823. https://doi.org/10.1111/ejed.12823
Cintrón-Valentín, M. C., & García-Amaya, L. (2021). INVESTIGATING TEXTUAL ENHANCEMENT AND CAPTIONS IN L2 GRAMMAR AND VOCABULARY: AN EXPERIMENTAL STUDY. Studies in Second Language Acquisition, 43(5), 1068–1093. https://doi.org/10.1017/S0272263120000492
Dawadi, S. (2020). Thematic Analysis Approach: A Step by Step Guide for ELT Research Practitioners. Journal of NELTA, 25(1–2), 62–71. https://doi.org/10.3126/nelta.v25i1-2.49731
Dehalwar, K., & Sharma, S. N. (2024). Exploring the Distinctions between Quantitative and Qualitative Research Methods. https://doi.org/10.5281/ZENODO.10553000
Du, J., & Alm, A. (2024). The Impact of ChatGPT on English for Academic Purposes (EAP) Students’ Language Learning Experience: A Self-Determination Theory Perspective. Education Sciences, 14(7), 726. https://doi.org/10.3390/educsci14070726
El Shazly, R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems, 38(3), e12667. https://doi.org/10.1111/exsy.12667
Hossan, D., Dato’ Mansor, Z., & Jaharuddin, N. S. (2023). Research Population and Sampling in Quantitative Study. International Journal of Business and Technopreneurship (IJBT), 13(3), 209–222. https://doi.org/10.58915/ijbt.v13i3.263
KANG, E., & HWANG, H.-J. (2021). Ethical Conducts in Qualitative Research Methodology :Participant Observation and Interview Process. Journal of Research and Publication Ethics, 2(2), 5–10. https://doi.org/10.15722/JRPE.2.2.202109.5
Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N. (2024). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management, 75, 102716. https://doi.org/10.1016/j.ijinfomgt.2023.102716
Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1
Mogaji, E., Viglia, G., Srivastava, P., & Dwivedi, Y. K. (2024). Is it the end of the technology acceptance model in the era of generative artificial intelligence? International Journal of Contemporary Hospitality Management, 36(10), 3324–3339. https://doi.org/10.1108/IJCHM-08-2023-1271
Nazeer. (2024). ENGLISH LANGUAGE ACQUISITION THROUGH CHATGPT: A STUDY ON PERSONALIZED CONVERSATIONAL PRACTICE AND FEEDBACK. JOURNAL OF APPLIED LINGUISTICS AND TESOL (JALT).
Okyar, H. (2023). University-level EFL students’ views on learning English online: A qualitative study. Education and Information Technologies, 28(1), 81–107. https://doi.org/10.1007/s10639-022-11155-9
Qu, K., & Wu, X. (2024). ChatGPT as a CALL tool in language education: A study of hedonic motivation adoption models in English learning environments. Education and Information Technologies, 29(15), 19471–19503. https://doi.org/10.1007/s10639-024-12598-y
Siemons-Lühring, D. I., Euler, H. A., Mathmann, P., Suchan, B., & Neumann, K. (2021). The Effectiveness of an Integrated Treatment for Functional Speech Sound Disorders—A Randomized Controlled Trial. Children, 8(12), 1190. https://doi.org/10.3390/children8121190
Tinelli, S., & Juran, I. (2019). Artificial intelligence-based monitoring system of water quality parameters for early detection of non-specific bio-contamination in water distribution systems. Water Supply, 19(6), 1785–1792. https://doi.org/10.2166/ws.2019.057
Van Der Kleij, F., & Adie, L. (2020). Towards effective feedback: An investigation of teachers’ and students’ perceptions of oral feedback in classroom practice. Assessment in Education: Principles, Policy & Practice, 27(3), 252–270. https://doi.org/10.1080/0969594X.2020.1748871
Xiao, Y., & Zhi, Y. (2023). An Exploratory Study of EFL Learners’ Use of ChatGPT for Language Learning Tasks: Experience and Perceptions. Languages, 8(3), 212. https://doi.org/10.3390/languages8030212
Yu, Z., Yu, L., Xu, Q., Xu, W., & Wu, P. (2022). Effects of mobile learning technologies and social media tools on student engagement and learning outcomes of English learning. Technology, Pedagogy and Education, 31(3), 381–398. https://doi.org/10.1080/1475939X.2022.2045215