The Impact of Artificial Intelligence In English Class
Real Assistance or Real Learner?
DOI:
https://doi.org/10.31004/irje.v5i3.3145Keywords:
AI, English language learning, PGSD, Educational TechnologyAbstract
Artificial intelligence or AI has quietly revolutionized how students approach English language learning, yet academics still fighting with fundamental question about its true educational value. This study examined 48 second-semester PGSD students of FKIP at Universitas Nias through careful classroom observation during 2024/2025 academic year. In conducting this research, the researcher chose to observe and document real students’ behaviors as they naturally unfolded in fifteen weeks of English subject class. As predicted, the emerged situation was AI tools undeniably help students completing any English tasks more efficiently and tackle challenging materials with greater confidence. However, the researcher viewed worrying patterns of over-dependence that seemed to reduce the value of critical thinking and authentic language production. The research subjects drown into feared pattern: reaching for AI assistance before attempting independent problem-solving, even for the easiest tasks. The research findings suggest that AI functions best as a supportive tool (not as all-time assistant) when students remain mindful of its limitations, but current implementation lacks the pedagogical structure necessary for optimal learning outcomes.
References
Anderson, J., Brown, M., & Davis, K. (2023). Observational methods in educational technology research: Capturing authentic learning behaviors. Journal of Educational Research Methods, 47(2), 189-207.
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric analysis.
Chen, L., & Liu, W. (2023). AI-powered language learning in Asian contexts: Effectiveness and cultural considerations. Computer Assisted Language Learning, 36(4), 567-589.
Chung JY, Jeong SH. Exploring the perceptions of Chinese pre-service teachers on the integration of generative AI in English language teaching: Benefits, challenges, and educational implications. Online Journal of Communication and MediaTechnologies.2024;14(4):e202457.
Davis, R., & Thompson, S. (2024). Qualitative research methods in language education: Observation and analysis techniques. Applied Linguistics Research, 28(3), 145-167.
Kim, S., & Park, J. (2024). Strategic AI implementation in autonomous language learning: Evidence from Korean EFL contexts. Language Teaching Research, 28(2), 234-256.
Marisa Shermia Nandha, Hesty Widiastuty. 2024. The Impact of Artificial Intelligence on Students’ English Writing Proficiency in Language Learning. International Proceedings Universitas Tulungagung 2024.
Martinez, C., & Rodriguez, M. (2024). Dependency patterns in AI-assisted language learning: A longitudinal study. Modern Language Journal, 108(1), 78-94.
Pace, M. (2023). Language teachers’ training courses. The need for practical strategies and resources in the light of today’s evolving educational landscape.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI- powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3),135-153. https://doi.org/10.2478/jolace-2019-0025.
Rodriguez, M., & Martinez, C. (2024). The double-edged sword of AI in language education: Benefits and drawbacks of technological dependency. Applied Linguistics Review, 15(1), 89-112.
Sari, D., & Wijaya, A. (2024). Cultural considerations in AI-assisted English language learning: An Indonesian perspective. Indonesian Journal of Applied Linguistics, 14(2), 178-195.
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the Power of AI to Education. In Learning, teaching, and assessment methods for contemporary learners: pedagogy for the digital generation (pp. 311-342). Singapore: Springer Nature Singapore,
Thompson, K., & Singh, P. (2023). Frameworks for balanced AI integration in language education: Theory and practice. Educational Technology Research and Development, 71(3), 445-467.
Wilson, D., & Brown, R. (2024). Behavioral indicators of technology dependency in educational settings: An observational study. Computers & Education, 201, 234-248.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Elwin P. Zebua

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









