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Parker, Mark A. J.; Hedgeland, Holly; Braithwaite, Nicholas; Jordan, Sally – European Journal of Science and Mathematics Education, 2022
The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Physics
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
Cinite, Ilva; Barinovs, Girts – International Baltic Symposium on Science and Technology Education, 2019
The purpose of this study is to measure the development of students' conceptual understanding of basic physics concepts at introductory physics courses at the University of Latvia. The authors of the research have translated, tested and verified the Force Concept Inventory and other Concept Inventories in the context of Latvian education system.…
Descriptors: Learning Processes, Undergraduate Students, Physics, Science Instruction