Rethinking AI literacy: How high school students navigate ChatGPT in English language learning
DOI:
https://doi.org/10.22373/ej.v12i2.29157Keywords:
(AI literacy, ChatGPT, English language learning (ELL), high school students)Abstract
This study explores high school students’ AI literacy and their use of ChatGPT in English language learning, addressing the gap in AI application research at the secondary education level. Utilizing an explanatory sequential mixed-methods design, the study evaluated the AI literacy of 100 high school students via a validated questionnaire, assessing affective, behavioral, cognitive, and ethical dimensions. Follow-up interviews with six students of varying AI literacy levels provided deeper insights into their experiences and perceptions of ChatGPT. Findings indicate positive attitudes toward ChatGPT, with high scorers demonstrating robust engagement, adaptability, and ethical awareness in using the tool for English learning. Conversely, low scorers showed limited understanding, over-reliance on ChatGPT for superficial tasks, and underutilization of its potential for deeper learning. Despite its benefits, concerns about over-reliance and ethical issues highlight the need for structured guidance. Variations in AI literacy emphasize the importance of targeted interventions to promote critical thinking and responsible AI use. This study offers practical recommendations for integrating AI literacy into curricula to ensure effective and ethical use of AI tools. Future research should investigate the impact of comprehensive AI literacy programs on student engagement and learning outcomes.References
Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
Akopiants, N. (2023). Using ChatGPT in the process of learning English: Advantages and opportunities. Bulletin of the National Technical University “KhPI”. Series: Actual Problems of Ukrainian Society Development, 1, 69–72. https://doi.org/10.20998/2227-6890.2023.1.13
Allen, L. K., & Kendeou, P. (2024). ED-AI Lit: An interdisciplinary framework for AI literacy in education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339
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
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS - Meta AI Literacy Scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), 100014. https://doi.org/10.1016/j.chbah.2023.100014
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, CA: Sage Publications.
Crompton, H., Edmett, A., Ichaporia, N., & Burke, D. (2024). AI and English language teaching: Affordances and challenges. British Journal of Educational Technology, 55(6), 2503–2529. https://doi.org/10.1111/bjet.13460
Dempere, J., Modugu, K., Hesham, A., & Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8, 1206936. https://doi.org/10.3389/feduc.2023.1206936
Faruqe, F., Watkins, R., & Medsker, L. (2021). Competency model approach to AI literacy: Research-based path from initial framework to model.
Forman, N., Udvaros, J., & Avornicului, M. S. (2023). ChatGPT: A new study tool shaping the future for high school students. International Journal of Advanced Natural Sciences and Engineering Researches, 7(4), 95–102. https://doi.org/10.59287/ijanser.562
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451
Kit Ng, D. T., Wu, W., Leung, J. K. L., & Chu, S. K. W. (2023). Artificial intelligence (AI) literacy questionnaire with confirmatory factor analysis. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 233–235). Orem, UT, USA: IEEE.
Knoth, N., Decker, M., Laupichler, M. C., Pinski, M., Buchholtz, N., Bata, K., & Schultz, B. (2024). Developing a holistic AI literacy assessment matrix – Bridging generic, domain-specific, and ethical competencies. Computers and Education Open, 6, 100177. https://doi.org/10.1016/j.caeo.2024.100177
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
Kovačević, D. (2023). Use of ChatGPT in ESP teaching process. In 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1–5). East Sarajevo, Bosnia and Herzegovina: IEEE.
Lérias, E., Guerra, C., & Ferreira, P. (2024). Literacy in artificial intelligence as a challenge for teaching in higher education: A case study at Portalegre Polytechnic University. Information, 15(4), 205. https://doi.org/10.3390/info15040205
Liu, M., Ren, Y., Nyagoga, L. M., Stonier, F., Wu, Z., & Yu, L. (2023). Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools. Future in Educational Research, 1(1), 72–101. https://doi.org/10.1002/fer3.10
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). Honolulu, HI, USA: ACM.
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Education Sciences, 13(9), 856. https://doi.org/10.3390/educsci13090856
Naeem, M., Ozuem, W., Howell, K., & Ranfagni, S. (2023). A step-by-step process of thematic analysis to develop a conceptual model in qualitative research. International Journal of Qualitative Methods, 22, 16094069231205789. https://doi.org/10.1177/16094069231205789
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the Association for Information Science and Technology, 58(1), 504–509. https://doi.org/10.1002/pra2.487
Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. British Journal of Educational Technology, 55(3), 1082–1104. https://doi.org/10.1111/bjet.13411
Okolo, C. T. (2024). Beyond AI hype: A hands-on workshop series for enhancing AI literacy in middle and high school students. In Proceedings of the 2024 on RESPECT Annual Conference (RESPECT 2024) (pp. 86–93). New York, NY, USA: Association for Computing Machinery.
Panagopoulou, F., Parpoula, C., & Karpouzis, K. (2023). Legal and ethical considerations regarding the use of ChatGPT in education.
Park, H.-Y. (2023). Application of ChatGPT for an English learning platform. STEM Journal, 24(3), 30–48. https://doi.org/10.16875/stem.2023.24.3.30
Relmasira, S. C., Lai, Y. C., & Donaldson, J. P. (2023). Fostering AI literacy in elementary science, technology, engineering, art, and mathematics (STEAM) education in the age of generative AI. Sustainability, 15(18), 13595. https://doi.org/10.3390/su151813595
Sapan, M., & Uzun, L. (2024). The effect of ChatGPT-integrated English teaching on high school EFL learners’ writing skills and vocabulary development. International Journal of Education in Mathematics, Science, and Technology, 12(6), 1657-1677. https://doi.org/10.46328/ijemst.4655
Schmidt-Fajlik, R. (2023). ChatGPT as a grammar checker for Japanese English language learners: A comparison with Grammarly and ProWritingAid. AsiaCALL Online Journal, 14(1), 105–119. https://doi.org/10.54855/acoj.231417
Schönberger, M. (2023). ChatGPT in higher education: The good, the bad, and the university. In 9th International Conference on Higher Education Advances (HEAd’23) (pp. 331–338). Universitat Politècnica de València.
Shaengchart, Y. (2023). A conceptual review of TAM and ChatGPT usage intentions among higher education students.
Shaikh, S., Yayilgan, S. Y., Klimova, B., & Pikhart, M. (2023). Assessing the usability of ChatGPT for formal English language learning. European Journal of Investigation in Health, Psychology and Education, 13(9), 1937–1960. https://doi.org/10.3390/ejihpe13090140
Silcheva, A. G., Lamzina, A. V., Pavlova, T. L., & National University of Science and Technology “MISIS.” (2023). Specifics of using text and graphical chatbots with artificial intelligence in English language teaching. Perspectives of Science and Education, 64(4), 621–635. https://doi.org/10.32744/pse.2023.4.38
Slamet, J. (2024). Potential of ChatGPT as a digital language learning assistant: EFL teachers’ and students’ perceptions. Discover Artificial Intelligence, 4(1), 46. https://doi.org/10.1007/s44163-024-00143-2
Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: Assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14, 1260843. https://doi.org/10.3389/fpsyg.2023.1260843
Szügyi, J. S., Szügyi, E., & Takács, M. (2024). Evaluating the use of ChatGPT by university and high school students. Proceedings of the IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI), 000497-000502. https://doi.org/10.1109/SACI60582.2024.10619721
Triansyah, F. A., Muhammad, I., Rabuandika, A., Siregar, K. D. P., Teapon, N., & Assabana, M. S. (2023). Bibliometric analysis: Artificial intelligence (AI) in high school education. Jurnal Imiah Pendidikan dan Pembelajaran, 7(1), 112–123. https://doi.org/10.23887/jipp.v7i1.59718
Valova, I., Mladenova, T., & Kanev, G. (2024). Students' perception of ChatGPT usage in education. International Journal of Advanced Computer Science and Applications, 15(1). https://doi.org/10.14569/IJACSA.2024.0150143
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
Yuliani, S., Mukhibbah, T. L., & Agustina, E. (2024). Artificial intelligence usage in higher education: EFL students’ view. ELTR Journal, 8(2), 119–129. https://doi.org/10.37147/eltr.v8i2.198
Zhao, L., Wu, X., & Luo, H. (2022). Developing AI literacy for primary and middle school teachers in China: Based on a structural equation modeling analysis. Sustainability, 14(21), 14549. https://doi.org/10.3390/su142114549
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Farah Faridatul Hasanah, Putu Dian Danayanti Degeng

This work is licensed under a Creative Commons Attribution 4.0 International License.
Proposed Policy for Journals That Offer Open Access
Authors who publish with Englisia journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).