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Generative AI Usage and Academic Performance

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Listed:
  • Janik Ole Wecks
  • Johannes Voshaar
  • Benedikt Jost Plate
  • Jochen Zimmermann

Abstract

This study evaluates the impact of students' usage of generative artificial intelligence (GenAI) tools such as ChatGPT on their academic performance. We analyze student essays using GenAI detection systems to identify GenAI users among the cohort. Employing multivariate regression analysis, we find that students using GenAI tools score on average 6.71 (out of 100) points lower than non-users. While GenAI tools may offer benefits for learning and engagement, the way students actually use it correlates with diminished academic outcomes. Exploring the underlying mechanism, additional analyses show that the effect is particularly detrimental to students with high learning potential, suggesting an effect whereby GenAI tool usage hinders learning. Our findings provide important empirical evidence for the ongoing debate on the integration of GenAI in higher education and underscores the necessity for educators, institutions, and policymakers to carefully consider its implications for student performance.

Suggested Citation

  • Janik Ole Wecks & Johannes Voshaar & Benedikt Jost Plate & Jochen Zimmermann, 2024. "Generative AI Usage and Academic Performance," Papers 2404.19699, arXiv.org.
    • Handle: RePEc:arx:papers:2404.19699
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    File URL: http://arxiv.org/pdf/2404.19699
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