SPIRAL integration of generative AI in an undergraduate creative media course: effects on self-efficacy and career outcome expectations
Troy Schotter, Saba Kawas, James Prather, Juho Leinonen, Jon Ippolito, Greg L Nelson

TL;DR
This study explores a novel pedagogical approach called SPIRAL to integrate generative AI into an undergraduate creative media course, showing positive effects on students' self-efficacy and nuanced impacts on career interests.
Contribution
It introduces a new SPIRAL pedagogical strategy for integrating generative AI in education and analyzes its effects on student self-efficacy and career outlooks.
Findings
Increased creative media self-efficacy among students.
Enhanced self-efficacy in using generative AI.
Mixed effects on ethical AI use self-efficacy.
Abstract
Computing education and computing students are rapidly integrating generative AI, but we know relatively little about how different pedagogical strategies for intentionally integrating generative AI affect students' self-efficacy and career interests. This study investigates a SPIRAL integration of generative AI (Skills Practiced Independently, Revisited with AI Later), implemented in an introductory undergraduate creative media and technology course in Fall 2023 (n=31). Students first developed domain skills for half the semester, then revisited earlier material integrating using generative AI, with explicit instruction on how to use it critically and ethically. We contribute a mixed methods quantitative and qualitative analysis of changes in self-efficacy and career interests over time, including longitudinal qualitative interviews (n=9) and thematic analysis. We found positive…
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Taxonomy
TopicsEducational Games and Gamification · Artificial Intelligence in Healthcare and Education · Explainable Artificial Intelligence (XAI)
