
Scott Freeman
· Teaching Professor EmeritusVerifiedUniversity of Washington · Biology
Active 1980–2024
Research topics
- Computer Science
- Psychology
- Medical education
- Artificial Intelligence
- Medicine
- Mathematics education
- Cognitive science
- Engineering physics
- Mathematics
- Chemistry
- Statistics
- Engineering
Selected publications
Active learning: “Hands-on” meets “minds-on”
Science · 2021 · 98 citations
- Computer Science
- Artificial Intelligence
- Cognitive science
Science Advances · 2020 · 177 citations
Senior authorCorresponding- Computer Science
- Mathematics education
- Engineering physics
Students from underrepresented groups start college with the same level of interest in STEM majors as their peers, but leave STEM at higher rates. We tested the hypothesis that low grades in general chemistry contribute to this "weeding," using records from 25,768 students. In the first course of a general chemistry series, grade gaps based on binary gender, race/ethnicity, socioeconomic status, and family education background ranged from 0.12 to 0.54 on a four-point scale. Gaps persisted when the analysis controlled for academic preparation, indicating that students from underrepresented groups underperformed relative to their capability. Underrepresented students were less likely than well-represented peers to persist in chemistry if they performed below a C-, but more likely to persist if they got a C or better. This "hyperpersistent zone" suggests that reducing achievement gaps could have a disproportionately large impact on efforts to achieve equity in STEM majors and professions.
Proceedings of the National Academy of Sciences · 2020 · 1275 citations
Senior authorCorresponding- Mathematics education
- Psychology
- Mathematics
We tested the hypothesis that underrepresented students in active-learning classrooms experience narrower achievement gaps than underrepresented students in traditional lecturing classrooms, averaged across all science, technology, engineering, and mathematics (STEM) fields and courses. We conducted a comprehensive search for both published and unpublished studies that compared the performance of underrepresented students to their overrepresented classmates in active-learning and traditional-lecturing treatments. This search resulted in data on student examination scores from 15 studies (9,238 total students) and data on student failure rates from 26 studies (44,606 total students). Bayesian regression analyses showed that on average, active learning reduced achievement gaps in examination scores by 33% and narrowed gaps in passing rates by 45%. The reported proportion of time that students spend on in-class activities was important, as only classes that implemented high-intensity active learning narrowed achievement gaps. Sensitivity analyses showed that the conclusions are robust to sampling bias and other issues. To explain the extensive variation in efficacy observed among studies, we propose the heads-and-hearts hypothesis, which holds that meaningful reductions in achievement gaps only occur when course designs combine deliberate practice with inclusive teaching. Our results support calls to replace traditional lecturing with evidence-based, active-learning course designs across the STEM disciplines and suggest that innovations in instructional strategies can increase equity in higher education.
Recent grants
Frequent coauthors
- 50 shared
Joseph H. Haslag
- 49 shared
Bruce Champ
- 24 shared
Mary Pat Wenderoth
Seattle University
- 20 shared
Alison J. Crowe
University of Washington
- 16 shared
Sara E. Brownell
Arizona State University
- 12 shared
Elli J. Theobald
University of Washington
- 11 shared
Nnadozie Okoroafor
University of Washington
- 11 shared
Sievert Rohwer
University of Washington
Education
- 1990
PhD
University of Washington
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