Benjamin Motz
Computer Science · Indiana University
Publications
90
Citations
1,251
Est. group size
~2
Recurring co-author estimate
Active years
23
Publishing since 2004
Benjamin Motz studies how people learn, using data from real classrooms and online learning platforms to test what teaching methods actually improve understanding. His work spans learning analytics (analyzing data collected by course software), the effectiveness of study techniques like self-testing and prequestions, and tools for running experiments in educational settings. Recent projects also examine misinformation and how people process facts.
Publication activity has been steady-to-growing over the last decade, with a notable peak of 12 publications in 2025.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Current awards run through July 2027 — about under a year of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.
Planning: AI-Ready: TOPSAIL: The AI-Ready Test Bed in Education
1 earlier award
- NSF 2243778Mar 2023 – Feb 2026 · $500k awarded
RCN: INTERACT: An Incubator to Enable Scalable Education Equity Research with Terracotta
Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.
Typically publishes in teams of ~4 · 44% small-team papers (≤3 authors) · across 21 venues
- Terracotta: Lowering Barriers to Experimental Education Research
2026
- Some Assembly Required: Self-Testing Alone is Not an Effective Way to Build Broader Understanding
PsyArXiv (OSF Preprints) · 2026
- Synthesizing Social Media Posts: The Development and Validation of Synthetic Tweets for Misinformation Research
2026
- Prebunking via Induction: Categorization Practice Reduces Misinformation Susceptibility
2026
- What Understanding Is For
Computational Brain & Behavior · 2026
- Do Facts Matter? Consumer Misperceptions About Adopting Electrification Technologies
Climatic Change · 2026
- Incorporating an LMS Learning Analytic into Proactive Advising: Validity and Use in a Randomized Experiment
2025
- Some Assembly Required: Self-Testing Alone is Not an Effective Way to Build Broader Understanding
2025
- Incorporating an LMS learning analytic into proactive advising: Validity and use in a randomized experiment
The Internet and Higher Education · 2025
- Incorporating an LMS Learning Analytic into Proactive Advising: Validity and Use in a Randomized Experiment
2025
- ManyClasses 2: The Effects of Prequestions on Media Interactions and Learning
2025
- Simulation and symbolic thinking in equations representing change
PLoS ONE · 2025
- Examining Self-directed Learning of Natural Science Categories Through Adaptive Learning Systems
2025
- ManyClasses 2: The effects of prequestions on media interactions and learning.
Journal of Educational Psychology · 2025
- Concentration toward the mode: Estimating changes in the shape of a distribution of student data
Journal of School Psychology · 2024
- OSF Preprints (OSF Preprints)×8
- Technology Mind and Behavior×4
- PLoS ONE×3
- Journal of Learning Analytics×2
- Open MIND×2
- Casey Haney
Computer Science · Purdue University West Lafayette
- Joshua Quick
Computer Science · Indiana University
- Alyssa Friend Wise
Computer Science · Indiana University
- Rebecca M. Quintana
Computer Science · University of Michigan
- Stephanie D. Teasley
Computer Science · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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