The Use of Artificial Intelligence in Undergraduate Economics Courses

Laura J. Ahlstrom, Carlos J. Asarta and Cynthia Harter

AEA Papers and Proceedings, 2026, vol. 116, 686-691

Abstract: Using data from the 2025 national quinquennial “Chalk and Talk” survey, we examine how instructor, departmental, and institutional characteristics affect instructors’ use of AI in teaching and stances on student use of AI tools in four types of undergraduate economics courses. We also identify themes in instructors’ AI-related decisions using open-ended question responses. Findings suggest significant differences in AI integration and openness to student AI use by experience and institutional type, along with diverse perspectives on AI adoption. This work provides an empirical foundation for tracking trends in AI use and shaping discussions on its role in undergraduate economics education.

JEL-codes: A22 C45 I23 (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1257/pandp.20261057

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