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Gina Passante; Antje Kohnle – Physical Review Physics Education Research, 2024
When thinking about measurement uncertainty in a laboratory experiment that features quantum mechanical effects, it is important to consider both the physical principles of underlying quantum theory (e.g., the uncertainty due to quantum mechanical superposition states) as well as the limitations of the measurement (e.g., the spread in outcomes due…
Descriptors: Quantum Mechanics, Homework, Measurement, Science Laboratories
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John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
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Rieger, G. W.; Reinsberg, S. A.; Wieman, C. E. – Physical Review Physics Education Research, 2016
We present a comment on "Benefits of completing homework for students with different aptitudes in an introductory electricity and magnetism course", by F. J. Kontur, K. de La Harpe, and N. B. Terry PRST-PER 11, 010105 (2015). Our data show that the conclusions Kontur and coworkers draw from their data may not be generally applicable.
Descriptors: Homework, Energy, Magnets, Science Instruction
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Evans, William R.; Selen, Mats A. – Physical Review Physics Education Research, 2017
Homework in introductory physics represents an important part of a student's learning experience; therefore, choosing the manner in which homework is presented merits investigation. We performed three rounds of clinical trials comparing the effects of mastery-style homework vs. traditional-style homework with students in both algebra-based and…
Descriptors: Homework, Introductory Courses, Mastery Learning, Physics