INVESTIGATING AI TOOLS USAGE IN ENGLISH FOR PRESENTATION: A STUDY OF STUDENTS AT TWO PRIVATE HIGHER EDUCATIONAL INSTITUTIONS IN BANDUNG
Abstract
The increasing adoption of artificial intelligence (AI) in education is transforming the methods through which students engage with English learning. This study seeks to explore the potential of AI in supporting university students' English language Learning. By examining current AI usage, the research aims to assess students' familiarity with AI tools and the extent to which they integrate these tools into their English learning practices. Participants in the study are enrolled in the mandatory online English III course, "English for Presentation," at two private higher educational institutions in Bandung, Indonesia, reflecting a range of English proficiency levels among them. Data collection involved administering questionnaires to participants at the end of the odd term in the academic year 2023-2024. The findings indicate that a significant majority of participants are aware of AI tools, with Google Translate emerging as the most frequently used tool for language learning assistance. However, the potential of other AI tools to assist English language learning for presentations has not been fully explored. Respondents are now more aware of how to use AI tools effectively: using precise prompts, verifying AI results, not relying solely on AI, continuing manual research, and understanding that AI can help with ideas and presentations but requires verification, moderation and ethical use of AI are essential. Instructors are recommended to provide guidance and facilitate the exploration of AI tools to effectively integrate them into students’ learning.
References
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review, 8. IEEE Access, 75264-75278
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society, 25 (1), 28-47
Hwang, G. J. (2014). Definition, framework and research issues of smart learning environments - a context-aware ubiquitous learning perspective. Smart Learning Environments, 1-4.
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. . (2020a). Vision, challenges, roles and research issues of Artificial Intelligence in Education . Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001 .
Hwang, G. J., Sung, H. Y., Chang, S. C., & Huang, X. C. (2020b). A Fuzzy expert system-based adaptive learning
approach to improving students’ learning performances by considering affective and cognitive factors.
Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001.
Krstić, L.,Aleksić , V., and Krstić , M. (2022). Artificial Intelligence in Education : A Review. 9th International scientific conference.Technics and Informatics in Education – TIE 2022, (pp. 5-11).
Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Pengui UK
Sousa, MJ., Dal Mas, F., Pesqueira, A., Lemos,C., Verde, JM., Cobianchi, L. (2021, May). The Potential of AI in Health Higher Education to Increase the Students’ Learning Outcomes. TEM Journal, 10(2), 488-497.
Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10 (2), 1-37. Journal of Artificial General Intelligence, 10(2), 1-37.
Copyright (c) 2024 Arni Sukmiarni
This work is licensed under a Creative Commons Attribution 4.0 International License.