There is currently little physics education literature examining thinking and learning in graduate education and even less literature characterizing problem solving among physics graduate students despite this being an essential professional skill for physicists. Given reports of discrepancies between physics problem solving in the undergraduate classroom and “real-world” problem solving, we sought to investigate whether this discrepancy exists at the graduate level. We first investigate the problem-solving skills present in first-year graduate physics assignments. A recent framework that characterizes problem solving as decisions-to-be-made was used. Assignments were taken from the four core courses of one academic year at one research-intensive university and coded by two researchers. We found that only 4 of the 29 decisions in the framework were present in most of the assignments. We then interviewed 11 instructors from 3 universities and asked which decisions they expected of first-year graduate students. Eleven decisions were expected by eight or more of the participants, but only four of these decisions were commonly practiced on assignments. Therefore, there seems to be a mismatch between instructor expectations and practice of problem solving on assignments. This suggests that graduate physics courses may not be aligned with the problem-solving skills that physics graduate students will need in their research or future careers. Published by the American Physical Society2025
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How researchers calculate students’ grade point average in other courses has minimal impact
Grade point average in “other” courses (GPAO) is an increasingly common measure used to control for prior academic performance and to predict future academic performance. In previous work, there are two distinct approaches to calculating GPAO, one based on only courses taken concurrently (term GPAO) and one based on all previous courses taken (cumulative GPAO). To our knowledge, no one has studied whether these methods for calculating the GPAO result in equivalent analyses and conclusions. As researchers often use one definition or the other without comment on why that choice was made, if the two calculations of GPAO are different, researchers might be inducing systematic error into their results and publishing potentially inaccurate conclusions. We looked at more than 3,700 courses at a public, research-intensive university over a decade and found limited evidence that the choice of GPAO calculation affects the conclusions. At most, one in seven courses could be affected. Further analysis suggests that there may be situations where one form of GPAO may be preferred over the other when it comes to examining inequity in courses or predicting student grades. However, we did not find sufficient evidence to universally recommend one form of GPAO over the other.
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- Award ID(s):
- 2007065
- PAR ID:
- 10448459
- Editor(s):
- Guo, William
- Date Published:
- Journal Name:
- PLOS ONE
- Volume:
- 18
- Issue:
- 8
- ISSN:
- 1932-6203
- Page Range / eLocation ID:
- e0290109
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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