Evidence map›Paper›PMID 40537565›Full record

Trial reportScientific reports2025

AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting.

Greg Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, Gregorio Ponti

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Will Medical Schools Train AI Tutors to Teach by Humiliation?Journal of evaluation in clinical practice · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Greg Kestin *Department of Physics, Harvard University, 17 Oxford Street, Cambridge, MA, 02138, USA. Kestin@fas.Harvard.edu.
Kelly Miller *School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA, 02138, USA.
Anna KlalesDepartment of Physics, Harvard University, 17 Oxford Street, Cambridge, MA, 02138, USA.
Timothy MilbourneDepartment of Physics, Harvard University, 17 Oxford Street, Cambridge, MA, 02138, USA.
Gregorio PontiDepartment of Physics, Harvard University, 17 Oxford Street, Cambridge, MA, 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in generative artificial intelligence show great potential for improving education. Yet little is known about how this new technology should be used and how effective it can be compared to current best practices. Here we report a randomized, controlled trial measuring college students' learning and their perceptions when content is presented through an AI-powered tutor compared with an active learning class. The novel design of the custom AI tutor is informed by the same pedagogical best practices as employed in the in-class lessons. We find that students learn significantly more in less time when using the AI tutor, compared with the in-class active learning. They also feel more engaged and more motivated. These findings offer empirical evidence for the efficacy of a widely accessible AI-powered pedagogy in significantly enhancing learning outcomes, presenting a compelling case for its broad adoption in learning environments.

Indexed as

Artificial IntelligenceProblem-Based LearningAdultFemaleHumansLearningMaleStudentsUniversitiesYoung Adult

Identifiers

PMID40537565
PMCPMC12179260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.