Assessing Expertise in Introductory Physics Using Categorization Task
Andrew Mason, Chandralekha Singh

TL;DR
This study evaluates physics students' problem categorization skills as a proxy for expertise, revealing a wide distribution of skills among students and differences based on course type and problem context.
Contribution
It compares introductory students' categorization abilities with graduate students and faculty, highlighting the variability of expertise and the impact of problem context.
Findings
Introductory students show wide variability in categorization skills.
Calculus-based students outperform algebra-based students.
Categorization trends are consistent across different problem sets.
Abstract
The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking three introductory physics classes, each with more than a hundred students, to categorize mechanics problems based upon similarity of solution. We compare their categorization with those of physics graduate students and faculty members. To evaluate the effect of problem context on students' ability to categorize, two sets of problems were developed for categorization. Some problems in one set included those available from the prior study by Chi et al. We find a large overlap between calculus-based introductory students and graduate students with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
