Designing for AI Literacy: A Modular, GenAI-Integrated Course for Interdisciplinary Graduate Students in Education
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.
Authors
- Nicole King (ORCID: https://orcid.org/0000-0002-7979-2885)
- Jiahui Yan (ORCID: https://orcid.org/0009-0000-7511-3374)
Institutions
- University of Rhode Island (US)
- University of Rochester (US)
Publication Details
- Journal
- International Journal of Designs for Learning
- Published
- 2025-12-17
- DOI
- https://doi.org/10.14434/ijdl.v16i2.42081
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00