Chatbot treatment effects on final grades were statistically significant between the 35th and 75th quantiles of the course grade distribution and at the 95th¶
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Evidence · 1 study · causalr3·q3
Currency · newest study 2026 · checked against its sources 2026-10-22 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
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q3 i? Treatment produced statistically significant grade increases between the 35th and 75th quantiles (and at the 95th quantile), indicating the intervention was most impactful for students in the middle of the academic distribution and those at the very top. → Meyer 2026
Evidence¶
Meyer 2026¶
Meyer, Katharine, Lindsay C. Page, Catherine Mata, Eric N. Smith, B. Tyler Walsh, C. Lindsey Fifield, Michelle Tyson, Amy Eremionkhale, Michael Evans, Shelby Frost, and Eye Eoun Jung. (2026). Let's Chat: Leveraging Chatbot Outreach for Improved Course Performance (NBER Working Paper No. 35397). National Bureau of Economic Research. doi:10.3386/w35397. Also released as EdWorkingPaper 22-564, Annenberg Institute at Brown University: https://edworkingpapers.com/ai22-564
q3 · i? · causal · r3
Quantile regression estimates (Koenker & Bassett, 1978) pooled across both courses, plotting treatment effects from the 10th through 95th quantile in Figure 5 with the OLS effect shown at top. Effects were non-uniform along the performance distribution.
"We find treatment assignment results in a statistically significant increase in final course grades between the 35th and 75th quantiles of the course distribution (as well as at the 95th quantile). This indicates that treatment effects are non-uniform along the distribution of course performance"
Discussion¶
Related Claims¶
- Chatbot outreach showed suggestive effects on assignment completion in Microeconomics but no effects on assignments in Government — related
- Women assigned to the chatbot in Microeconomics earned final grades seven points higher than control women, with no treatment effects for men — related
- Chatbot outreach increased supplemental instruction tutoring attendance by about two percentage points, mediating a small share of the grade effect — related
- Gains from verified AI materials are concentrated in the bottom quintile, which accounts for roughly three-quarters of the average effect — related
- Chatbot outreach produced no spillover effects on other-course performance or medium-term effects on subsequent enrollment — related
- Course completion effects differed by subject: reduced DFW in Government and reduced dropping in Microeconomics — related
- Academic chatbot outreach increased the likelihood students earned an A or B by four percentage points across two large online undergraduate courses — related
- End-of-course survey respondents strongly recommended the chatbot, but attitudinal outcomes showed no consistent treatment effects and survey participation was differentially selective — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
chatbot-quantile-effects-middle-distribution |
title |
Chatbot treatment effects on final grades were statistically significant between the 35th and 75th quantiles of the course grade distribution and at the 95th |
description |
Chatbot treatment effects on final grades were statistically significant between the 35th and 75th quantiles of the course grade distribution and at the 95th |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-22 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — meyer-2026 |
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