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Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
- Truvace record
- TRV-2026-2480raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Randomized controlled trial
- Sources
- 1 sourcePeer-reviewed
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This study provides pre-registered, experimental evidence on the use of non-generative artificial intelligence (AI) chatbots to support students in large-enrollment undergraduate courses. We find the chatbot messaging increased students’ final grades and engagement with academic supports, such as tutoring. Treatment effects were generally consistent across student demographics, with the exception of treated women in a Microeconomics course, who earned final grades that were seven percentage points higher than wo…
The gain
In randomized trials covering 2,483 students at Georgia State University, students assigned to course chatbot texts were four percentage points more likely to earn an A or B than the 61% of control students who did.
What this doesn’t fix
Only about half of Government students completed the end-of-course survey, with response rates lower for Black students, course retakers and students with lower high school GPAs, and no survey was fielded in Microeconomics; the authors also caution against over-interpreting the mechanism results.
Sources
1 on file- NBER Working Paperdoi:10.3386/w35397
Cite this record
v1Truvace Impact Record TRV-2026-2480, v1: “Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance.” Truvace, 2026-11-12. /record/TRV-2026-2480 (accessed on the day you copy it). sha256 b770b0d2fb562ccc…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
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