2026 ASEE Annual Conference & Exposition

From Prompt to Practice: Leveraging Generative AI in Undergraduate Creation of K12 Teaching Resources

Presented at Computers in Education (CoED): Learning, Engagement & Inclusion (5 of 9) -- T308B

Generative AI (GenAI) tools have the potential to support K12 educators by automating the creation of instructional materials, including lesson plans, instructional videos, and educational games. Despite their growing accessibility, the use of GenAI in K12 education remains largely underexplored. Even less examined is how undergraduate students experience the process of designing AI-generated instructional materials and how these experiences shape their understanding of AI and its educational applications. This work is grounded in the context of ITCS 3050: AI Literacy and CT for K12, an undergraduate course in which students use GenAI tools to design and refine K12 teaching materials.

The course serves as a testbed for exploring three central research questions: (1) How do students frame their experiences developing K12 teaching materials? (2) What growth do students report in their understanding of AI literacy after engaging in the design of GenAI-generated K12 teaching resources? and (3) What difficulties do students experience in learning to use GenAI for instructional design? Framed as a co-design process, the course engages students as active contributors in the development of AI-generated educational content.

This paper focuses specifically on a thematic analysis of undergraduate student reflections to examine how students make sense of their experiences designing with GenAI and how these experiences shape their understanding of AI and its role in education. Our findings highlight key themes related to students’ evolving conceptions of AI, their perceptions of GenAI’s capabilities and limitations, and the challenges they encountered when designing for K12 audiences. The collection and analysis of feedback from K12 teachers on student-created materials is an ongoing component of the broader project and is not included in this paper; this will be reported on in future work.

Authors
  1. Mrs. Madison Melton University of North Carolina at Charlotte [biography]
  2. Dr. Mohsen M Dorodchi Orcid 16x16http://orcid.org/0000-0001-7522-1068 University of North Carolina at Charlotte [biography]
  3. Audrey Rorrer Orcid 16x16http://orcid.org/0000-0003-0600-6545 University of North Carolina at Charlotte [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026

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