Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform
Open accessAbstract
Providing ample opportunities for students to express their thinking is pivotal to their learning of mathematical concepts. We introduce the Talk Meter, which provides in-the-moment automated feedback on student-teacher talk ratios. We conduct a randomized controlled trial on a virtual math tutoring platform (n=742 tutors) to evaluate the effectiveness of the Talk Meter at increasing student talk. In one treatment arm, we show the Talk Meter only to the tutor, while in the other arm we show it to both the student and the tutor. We find that the Talk Meter increases student talk ratios in both treatment conditions by 13-14%; this trend is driven by the tutor talking less in the tutor-facing condition, whereas in the student-facing condition it is driven by the student expressing significantly more mathematical thinking. Through interviews with tutors, we find the student-facing Talk Meter was more motivating to students, especially those with introverted personalities, and was effective at encouraging joint effort towards balanced talk time. These results demonstrate the promise of in-the-moment joint talk time feedback to both teachers and students as a low cost, engaging, and scalable way to increase students’ mathematical reasoning.
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Students' motivation to complete the program changes when completion is tied to a grade or placement in an advanced course.
“Finally, students' motivation to complete the program changes when completion is tied to a grade or placement in an advanced course (Chamberlin et al., 2023;Demszky et al., 2024;Rodríguez Rincón et al., 2024).”
From Methodological Choices When Assessing Summer Bridge Programs in STEM Majors: A Scoping Review (2026) · cites this paper as Demszky et al., 2024
Cites
The development of student feedback literacy: Enabling uptake of feedback
Carless, D., & Boud, D. (2018) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2018.1463354 · Cited by 2,428 · see citing works
Interpreting effect sizes of education interventions
Kraft, M. A. (2020) · Educational Researcher · doi:10.3102/0013189x20912798 · Cited by 1,281 · see citing works
Kraft, M. A., Blazar, D., & Hogan, D. (2018) · Review of Educational Research · doi:10.3102/0034654318759268 · Cited by 1,202 · cited 1× · see citing works
“Such high-quality teaching practice takes a lot of coaching to master, which is unavailable to most teachers on a regular basis, especially in informal contexts [34].”
BackgroundHill, H. C., Blunk, M. L., Charalambous, C. Y., Lewis, J. M., Phelps, G. C., Sleep, L., & Ball, D. L. (2008) · Cognition and Instruction · doi:10.1080/07370000802177235 · Cited by 996 · cited 1× · see citing works
“…from prior work [15] that was trained on an elementary math classroom dataset annotated by expert educators with a definition of student mathematical reasoning adapted from the widely used Mathematical Quality of Instruction (MQI) observation protocol’s “Student Provide Explanations” [27] item.”
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Methodological Choices When Assessing Summer Bridge Programs in STEM Majors: A Scoping Review
Caballero Díaz, D., Amin, A., Musa, P., & Leung, V. (2026) · Education Sciences · doi:10.3390/educsci16020220
- Authors
- Demszky, D., Wang, R., Geraghty, S., & Yu, C.
- Affiliations
- Stanford University (US)
- Cuemath, India
- Venue
- Proceedings of the 14th Learning Analytics and Knowledge Conference
- Publisher
- ACM
- Published
- 2024-03-18
- Pages
- 632-644
- OpenAlex
- W4392484082
- Cited by
- 7
- References
- 4
- Citations by year
- 2025: 5 · 2024: 2
- FWCI
- 1.69
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Conference on Learning Analytics and Knowledge (LAK) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Mathematics Education and Teaching Techniques
- Keywords
- automated feedback, student talk time, student engagement, mathematical reasoning, student mathematical thinking, tutor-student interaction, introversion, online tutoring platform
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