Designing for AI Literacy: A Modular, GenAI-Integrated Course for Interdisciplinary Graduate Students in Education

Main Article Content

Nicole King
https://orcid.org/0000-0002-7979-2885
Jialin Yan
https://orcid.org/0009-0000-7511-3374

Abstract

As educators, we are witnessing and experiencing the rapid proliferation and development of generative artificial intelligence (GenAI) tools, which are raising urgent questions about authorship, ethics, and instruction in higher education (cf. Eaton, 2023). Amid uncertainty and reactive policy responses, we designed a graduate seminar titled “Generative AI—Emerging Implications for Teaching, Learning, Language, and Research: ChatGPT,” offered in Spring 2024 at the University of Rochester. We aimed to immerse students in GenAI environments and offer opportunities to explore both the “what” and the “how” of generative AI, including tools such as ChatGPT and their implications for teaching, learning, language, and research across K–12 and higher education contexts. Following extensive discussions with department leadership, faculty members, and prospective graduate students, we developed this course between February 2023 and January 2024 and implemented it with students during the Spring 2024 semester.

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Article Details

How to Cite
King, N., & Yan, J. (2025). Designing for AI Literacy: A Modular, GenAI-Integrated Course for Interdisciplinary Graduate Students in Education. International Journal of Designs for Learning, 16(2), 289–305. https://doi.org/10.14434/ijdl.v16i2.42081
Section
Special Section: GenAI in Learning Design
Author Biographies

Nicole King, University of Rhode Island

Nicole King is an assistant professor of TESOL and bilingual education at the University of Rhode Island. She researches the translingual and transmodal practices of multilingual students and their families, including online spaces.

Jialin Yan, University of Rochester

Jialin Yan is a doctoral student at the University of Rochester, who researches the potential and policy of GenAI globally.