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The Use of Artificial Intelligence in Undergraduate Economics Courses

Author

Listed:
  • Laura J. Ahlstrom
  • Carlos J. Asarta
  • Cynthia Harter

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.

Suggested Citation

  • Laura J. Ahlstrom & Carlos J. Asarta & Cynthia Harter, 2026. "The Use of Artificial Intelligence in Undergraduate Economics Courses," AEA Papers and Proceedings, American Economic Association, vol. 116, pages 686-691, May.
    • Handle: RePEc:aea:apandp:v:116:y:2026:p:686-691
    DOI: 10.1257/pandp.20261057
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    More about this item

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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