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

Argie O. Suello, Rivika C. Alda

DOI Number
https://doi.org/10.22190/JTESAP241016057S
First page
769
Last page
781

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. 


Keywords

AI integration, English teachers, English language teaching, Ethical considerations, Narrative inquiry

Full Text:

PDF

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




DOI: https://doi.org/10.22190/JTESAP241016057S

Refbacks

  • There are currently no refbacks.


ISSN 2334-9182 (Print)
ISSN 2334-9212 (Online)