Generative AI without guardrails can harm learning: Evidence from high school mathematics
California University of Pennsylvania · William P. Wharton Trust · +3 more institutions
Abstract
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. A key question is how generative AI affects learning-namely, how humans acquire new skills as they perform tasks. Learning is critical to long-term productivity, especially since generative AI is fallible and users must check its outputs. We study this question via a field experiment where we provide nearly a thousand high school math students with access to generative AI tutors. To understand the differential impact of tool design on learning, we deploy two generative AI tutors: one that mimics a standard ChatGPT interface ("GPT Base") and one with prompts designed to…
Citation impact
- FWCI
- 117.99
- Percentile
- 100%
- References
- 25
Authors
6- HBHamsa BastaniCorresponding
California University of Pennsylvania, William P. Wharton Trust, Health Decisions (United States)
- OBOsbert BastaniCorresponding
California University of Pennsylvania, Health Decisions (United States)
- ASAlp SunguCorresponding
California University of Pennsylvania, William P. Wharton Trust, Health Decisions (United States)
- HGHaosen Ge
- ÖKÖzge Kabakcı
International Business School, Toronto Metropolitan University
Topics & keywords
- Generative grammar
- Harm
- Computer science
- Artificial intelligence
- TUTOR
- Productivity
- Machine learning
- Psychology
- Decent work and economic growth