ENGLISH TEACHERS' ETHICAL CONSIDERATIONS IN AI INTEGRATION: A NARRATIVE INQUIRY

Authors

DOI:

https://doi.org/10.22190/JTESAP241016057S

Abstract

Artificial Intelligence (AI) has become more widespread and has posed some concerns in terms of how it is being used in education. This study explored the ethical considerations of English language teachers while integrating AI into their teaching practices. Using a narrative approach to qualitative inquiry, teachers' experiences in using AI technologies were deduced from the semi-structured interviews. Braun and Clarke’s thematic analysis framework was utilized to generate significant themes. These experiences are creatively described as follows: The Edge: Navigating the Pedagogical Skies using AI, Turbulence Ahead: The Pitfalls of AI Overdependence, Mapping an Ethical Pathway in the Digital Skies, Teachers as AI Pilots: Mastering the Skies Together, and The Sky Ahead: Venturing the Future of AI. Moreover, AI has significantly impacted teachers’ pedagogy, allowing them to personalize lessons, save time, and learn from various resources. On the contrary, concerns about copyright, creativity, biases, and loss of human touch emerged. The findings of this study provide insights on the integration of AI in English language classrooms especially in formulating guidelines of use while adhering to ethical principles. 

Author Biographies

  • Argie O. Suello, English Instructor, Berlitz Philippines

    Argie Omaña Suello is a licensed professional teacher based in the Philippines. He is connected with Berlitz US as an online English teacher, specializing in Global English and Business English for Latin American and Japanese students. He holds a Master of Arts in Education major in English Language Teaching from Cebu Normal University, and he is presently pursuing his Doctorate in English Language Teaching at the same institution.

     He worked in Customer Service before becoming a teacher, and he enjoys teaching English to students of diverse ages and nurturing their confidence.

  • Rivika C. Alda, Professor V, Cebu Normal University

    RIVIKA C. ALDA, LPT, Ed.D. is a Professor V at Cebu Normal University (CNU). She finished her Bachelor’s Degree in Education major in English (awarded Magna Cum Laude), Master’s Degree in Education (awarded as Best Thesis), and Doctorate Degree in Education (under CHED-scholarship Grant) major in English Language Teaching (ELT) in the same university. She was designated as the Chair of the programs Bachelor of Secondary Education (BSED) and Diploma for Professional Education (DPE) from 2018-2020 and was appointed Secretary of the Research Ethics Committee of CNU from 2017-2019. She was also the Research Chair of the college from 2022-2024. She is currently handling subjects both in undergraduate and graduate studies at CNU.

                   She has also co-authored published books such as Building and Enhancing New Literacies across the Curriculum, Language Learning Materials Development, Teaching and Assessment of Grammar, Teaching and Assessment of the Marcroskills, Technology for Teaching and Learning, Public Speaking, and Campus Journalism. She is also a National Prototype Syllabi writer in Pre-Service Teacher Education in English Major subjects. She has also published research articles in ACI and Scopus-indexed journals with citations from varied topics in Education, English Language Teaching, and Educational Technology. She has disseminated these works in different national and international research fora. 

References

Baskara, R. (2023). Personalised Learning with Ai: Implications for Ignatian Pedagogy. IJEBP (International Journal of Educational Best Practices), 7(1), 1. https://doi.org/10.31258/ijebp.v7n1.p1-16

Borenstein, J., & Howard, A. M. (2020). Emerging challenges in AI and the need for AI ethics education. AI And Ethics, 1(1), 61–65. https://doi.org/10.1007/s43681-020-00002-7

Chica, M., Guerra, M. C., & Guerra, G. C. (2023). The Role of Artificial Intelligence in the Development of Teaching Effectiveness: A Tool for Personalization of Learning in Higher Education. IAFOR Conference on Educational Research & Innovation Official Conference Proceedings. https://doi.org/10.22492/issn.2435-1202.2023.14

Cho, Y. H. (2022). A study on copyright issues in the use of works for the contents created by artificial intelligence. Saibeo Keomyunikeisyeon Hakbo/Sa’i’beo Keo’myu’ni’kei’syeon Hagbo, 39(2), 83–133. https://doi.org/10.36494/jcas.2022.06.39.2.83

Felix, C. V. (2020). The role of the teacher and AI in education. In Innovations in higher education teaching and learning (pp. 33–48). https://doi.org/10.1108/s2055-364120200000033003

Köprülü, F., Oyebimpe, A. O., Başarı, Ş., & Besim, S. (2023). Innovative Effects Of Artificial Intelligence On Teacher Education. Conhecimento & Diversidade, 15(40), 449– 465. https://doi.org/10.18316/rcd.v15i40.11240

Kreinsen, M., & Schulz, S. (2023, March 18). Towards the Triad of Digital Literacy, Data Literacy and AI Literacy in Teacher Education – A Discussion in Light of the Accessibility of Novel Generative AI. https://doi.org/10.35542/osf.io/xguzk

Marinucci, L., María, C., & Gangemi, A. (2022). Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender. AI & Society, 38(2), 747–761. https://doi.org/10.1007/s00146-022-01474-3

Nassar, A., & Kamal, M. (2021). Ethical Dilemmas in AI-Powered Decision-Making: A Deep Dive into Big Data-Driven Ethical Considerations. International Journal of Responsible Artificial Intelligence, 8. https://neuralslate.com/index.php/Journal-of-Responsible-AI/article/view/43

Gartner, S., & Krašna, M. (2023, June 6). Artificial Intelligence in Education - Ethical framework. IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/document/10155012 GMA Integrated News. (2023, January 18). Students under probe for allegedly using AI in submitted academic requirements. GMA News Online. https://www.gmanetwork.com/news/topstories/nation/857872/using-ai-to-write-essays-is-cheating-says-up-prof/story/

Hennink, M., & Kaiser, B. N. (2021). Sample sizes for saturation in qualitative research: A systematic review of empirical tests. Social Science & Medicine, 292, 114523. https://doi.org/10.1016/j.socscimed.2021.114523

Polak, S., Schiavo, G., & Zancanaro, M. (2022). Teachers’ Perspective on Artificial Intelligence Education: An Initial Investigation. CHI Conference on Human Factors in Computing Systems Extended Abstracts. https://doi.org/10.1145/3491101.3519866

Remian, D. (2019). Augmenting Education: Ethical Considerations for Incorporating Artifificial Intelligence in Education. Instructional Design Capstones

Collection, 52. https://scholarworks.umb.edu/instruction_capstone/52

Rizvi, M. (2023, June 8). Exploring the landscape of artificial intelligence in education: Challenges and opportunities. IEEE Conference Publication | IEEE

Xplore. https://ieeexplore.ieee.org/document/10156773

Ronanki, K. (2023). Towards an AI-centric Requirements Engineering Framework for Trustworthy AI. IEEE. https://doi.org/10.1109/icse-companion58688.2023.00075

Slimi, Z., & Carballido, B. (2022). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies. TEM Journal, 12(2), 590– 602. https://doi.org/10.18421/TEM122-02

Sonday, A., Ramugondo, E., & Kathard, H. (2020). Case study and narrative inquiry as merged Methodologies: A Critical Narrative Perspective. International Journal of Qualitative Methods, 19, 160940692093788. https://doi.org/10.1177/1609406920937880

Sorin, N., & Pagani, M. (2022). Artificial Intelligence Systems: The Influence on Human Entrepreneurial Creativity. Proceedings - Academy of Management, 2022(1). https://doi.org/10.5465/ambpp.2022.12146abstract

Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: if you can’t beat them, join them. Journal of China Computer-assisted Language Learning, 3(2), 258–262. https://doi.org/10.1515/jccall-2023-0008

Yang, K., Lawrence, L., Echeverría, V., Guo, B., Rummel, N., & Aleven, V. (2021). Surveying teachers’ preferences and boundaries regarding Human-AI control in dynamic pairing of students for collaborative learning. In Lecture notes in computer science (pp. 260–274). https://doi.org/10.1007/978-3-030-86436-1_20

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Published

2025-01-22

Issue

Vol. 12, No 3, 2024

Section

Articles