Innovation in Language Learning

Edition 18

Accepted Abstracts

Exploring Student Engagement with AI in a Short-Term Study Abroad Context: A Teacher’s Autoethnographic Journey

Chin-Sook Pak, Ball State University (United States)

Abstract

With the rapid proliferation of artificial intelligence (AI), the digital shift in higher education is no longer optional—it is a crucial transformation that must be both embraced and critically addressed [1]. In world language education, while AI offers promising possibilities for enhancing teaching and learning, it also presents uncharted territory, raising complex concerns around job security, ethical use, equity and access, data privacy, and the evolving professional development needs of instructors. Although a growing body of research explores students’ use of AI for language and cultural learning, there is a notable gap in the literature examining the teacher’s inner landscape—their perceptions, experiences, and reflections in navigating this technological transition. This presentation draws on the interrelated frameworks of autoethnography [2] and sociocultural theory [3, 4] to describe one language teacher’s lived experience observing students’ engagement with AI during a one-month study abroad program. Drawing from student surveys, post-program interviews, field notes, and reflective journals, the study explores (1) students’ use, familiarity, and instructional needs related to AI tools for language learning, cultural immersion, and travel logistics, and (2) the teacher’s evolving role as a co-navigator of uncertain digital terrain. This inquiry surfaces the teacher’s assumptions, vulnerabilities, and critical reflections on how emerging technologies intersect with the deeper values of language education.

 

Keywords

Artificial intelligence, autoethnography, study abroad, teacher’s inner landscape

 

REFERENCES

[1] Aoun, N. (2024, July 1). How higher ed can adapt to the challenges of AI: The future is here. Now is the time to make sense of it. The Chronicle of Higher Education. https://www.chronicle.com/article/how-higher-ed-canadapt-to-the-challenges-of-ai

[2] Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: An overview. Forum: Qualitative Social Research, 12(1), Article 10. https://doi.org/10.17169/fqs-12.1.1589

[3] Johnson, K. E. (2015). Second language teacher education: A sociocultural perspective. Routledge.

[4] Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

 

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