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Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Shoji, Yoshihiko; Munejiri, Shuji; Kaga, Eiko – Physical Review Physics Education Research, 2021
In this study, we evaluate the validity of question 29 (Q.29) in the Force Concept Inventory (FCI), which requires an understanding of atmospheric pressure. At least in some Japanese physics classes, the rate of the correct answer to Q.29 is reduced between the pretest and post-test. To examine this deterioration of a student's response, we…
Descriptors: Science Tests, Physics, Test Validity, Pretests Posttests
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Aiken, John M.; De Bin, Riccardo; Lewandowski, H. J.; Caballero, Marcos D. – Physical Review Physics Education Research, 2021
Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created, very large datasets and machine learning techniques. In physics education research (PER), this increased focus has recently been shown through the 2019 Physical Review…
Descriptors: Physics, Science Education, Educational Research, Statistical Analysis
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Stoen, Siera M.; McDaniel, Mark A.; Frey, Regina F.; Hynes, K. Mairin; Cahill, Michael J. – Physical Review Physics Education Research, 2020
The Force Concept Inventory (FCI) can serve as a summative assessment of students' conceptual knowledge at the end of introductory physics, but previous work has suggested that the knowledge measured by this instrument is not a unitary construct. In this article, we consider the idea that FCI performance may reflect a number of student attributes…
Descriptors: Physics, Scientific Concepts, Student Characteristics, Calculus
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Knaub, Alexis V.; Aiken, John M.; Ding, Lin – Physical Review Physics Education Research, 2019
While other fields such as statistics and education have examined various issues with quantitative work, few studies in physics education research (PER) have done so. We conducted a two-phase study to identify and to understand the extent of these issues in quantitative PER. During phase 1, we conducted a focus group of three experts in this area,…
Descriptors: Physics, Educational Research, Research Methodology, Science Education
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Taibu, Rex; Ferrari-Bridgers, Franca – EURASIA Journal of Mathematics, Science and Technology Education, 2020
In this research an instrument was developed to measure students' anxiety about the jargon of physics. Levels of anxiety were then compared with student content performance and general classroom anxiety. Anxiety levels were also compared based on students' language of origin (native vs. nonnative English speaking students). Statistical analyses…
Descriptors: Physics, Academic Language, Anxiety, Introductory Courses