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Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk

Summary

A randomized controlled trial on the Schoolhouse.world platform found that automated feedback to volunteer tutors increased their eliciting of learner ideas, uptake of learner contributions, and learner reasoning by 8-15%, but tutor talk time (averaging 91.5%) did not change, and learner-facing feedback did not further alter discourse.

SourcearXiv Computational LinguisticsAuthor: Dorottya Demszky, Yann Hicke, Joy Yun, Mariah Olson, Max Karpawich, Anees Iqbal, Matt Wu, Jimmy Huang, Akshay Ravikumar, Drew Bent
Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk
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[Submitted on 4 Nov 2026]

Title:Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk

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Abstract:Automated feedback on classroom discourse improves instruction in professional and online teaching contexts, and recent work suggests that delivering similar feedback to learners may strengthen these effects by sharing responsibility for participation. Whether this holds in small-group volunteer tutoring has not been tested. We present results from a randomized controlled trial across two four-week SAT mathematics bootcamps on the this http URL platform, involving 1,030 volunteer tutors, 7,443 learners and 6,508 recorded sessions. Tutors were randomly assigned to receive no feedback, automated feedback on their own discourse, or that feedback together with participation feedback delivered to their learners under one of two motivational framings. Feedback to tutors increased eliciting of learner ideas, uptake of learner contributions, and learner reasoning by 8-15%, and the pattern replicated across both bootcamps. However, tutor talk time, which averaged 91.5% in the control group, did not change in any condition, and learner-facing feedback did not further change discourse. Interviews with 17 tutors indicate that they adopted the moves the feedback recommended but were limited by learners who did not respond. Interviews with 13 learners suggest why the learner-facing feedback had little effect: it reported a group-level rather than a learner-level statistic, some learners preferred to listen, and learner-to-learner interaction was rare in these sessions. Automated feedback can change how tutors invite learner thinking, but shifting how much learners talk likely requires changes beyond feedback.

Subjects:

Computation and Language (cs.CL); Emerging Technologies (cs.ET); Human-Computer Interaction (cs.HC)

Cite as: arXiv:2611.07072 [cs.CL]

(or arXiv:2611.07072v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2611.07072

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Dorottya Demszky [view email] [v1] Wed, 4 Nov 2026 19:29:43 UTC (1,133 KB)

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Key points

  • The randomized controlled trial involved 1,030 volunteer tutors, 7,443 learners, and 6,508 recorded sessions across two SAT math bootcamps.
  • Automated feedback increased tutors' eliciting of learner ideas, uptake of contributions, and learner reasoning by 8-15%.
  • Tutor talk time remained unchanged at an average of 91.5% in the control group across all conditions.
  • Learner-facing feedback had little effect because it reported group-level statistics, some learners preferred to listen, and learner-to-learner interaction was rare.

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Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk | AI News Hub