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Showing 1 to 15 of 18 results Save | Export
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Wheatley, Christopher; Wells, James; Pritchard, David E.; Stewart, John – Physical Review Physics Education Research, 2022
The Force Concept Inventory (FCI) is a popular multiple-choice instrument used to measure a student's conceptual understanding of Newtonian mechanics. Recently, a network analytic technique called module analysis has been used to identify responses to the FCI and other conceptual instruments that are preferentially selected together by students;…
Descriptors: Physics, Science Instruction, Concept Formation, Scientific Concepts
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Kim, Hong-Jeong; Im, Sungmin – Asia-Pacific Science Education, 2021
This study investigates pre-service teachers' beliefs about learning physics and explores how beliefs correlate with learning achievement as evidenced by conceptual understanding and grades in a year-long physics course. To investigate beliefs about learning physics, 14 second-year pre-service teachers in a teacher training program in South Korea…
Descriptors: Preservice Teachers, Student Attitudes, Physics, Science Instruction
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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
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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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Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
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Jannis Weber; Thomas Wilhelm – Physical Review Physics Education Research, 2024
Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…
Descriptors: Physics, Science Instruction, Scientific Concepts, Mechanics (Physics)
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Fazio, Claudio; Battaglia, Onofrio R. – International Journal of Science and Mathematics Education, 2019
The Force Concept Inventory is a multiple-choice test and is one of the most popular and most analyzed concept inventories. It is used to investigate student understanding of Newtonian mechanics. A structured approach to data analysis can transform it in a "diagnostic" instrument that can validate inferences about student thinking. In…
Descriptors: Mechanics (Physics), Scientific Concepts, Concept Formation, College Freshmen
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Stewart, John; Drury, Byron; Wells, James; Adair, Aaron; Henderson, Rachel; Ma, Yunfei; Perez-Lemonche, Ángel; Pritchard, David – Physical Review Physics Education Research, 2021
This study reports an analysis of the Force Concept Inventory (FCI) using item response curves (IRC)--the fraction of students selecting each response to an item as a function of their total score. Three large samples (N = 9606, 4360, and 1439) of calculus-based physics students were analyzed. These were drawn from three land-grant institutions…
Descriptors: Physics, Science Instruction, Scientific Concepts, Item Response Theory
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Cinite, Ilva; Barinovs, Girts – International Baltic Symposium on Science and Technology Education, 2021
Education research has repeatedly shown that active learning in physics is pedagogically more efficient than traditional lecture courses. Widespread application of the active learning is slowed down by the lack of data on the performance of the active learning in widely varying circumstances of different educational systems. We measured the level…
Descriptors: Foreign Countries, Physics, Scientific Concepts, Teaching Methods
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Dunleavy, Spencer; Kestin, Greg; Callaghan, Kristina; McCarty, Logan; Deslauriers, Louis – Physical Review Physics Education Research, 2022
The typical introductory physics lecture requires students to consolidate and assimilate a large quantity of complex information that is often novel to them. This can leave students overwhelmed, slow the pace of their learning, and lower their motivation. We find that carefully designed multimedia summaries in the form of one-minute videos and…
Descriptors: Physics, Science Instruction, Teaching Methods, Undergraduate Students
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Reinhard, Aaron; Felleson, Alex; Turner, Paula C.; Green, Maxwell – Physical Review Physics Education Research, 2022
We studied the impact of metacognitive reflections on recently-completed work as a way to improve the retention of newly learned problem-solving techniques. Students video recorded themselves talking through problems immediately after finishing them, completed ongoing problem-solving strategy maps or problem-sorting exercises, and filled out…
Descriptors: Metacognition, Problem Solving, Retention (Psychology), Video Technology
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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
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Syuhendri Syuhendri – Journal of Baltic Science Education, 2017
The purpose of this research was to investigate the effectiveness of conceptual change learning approach based on conceptual change model over traditional instruction on the improvement of physics education undergraduate students' conceptual understanding in Newtonian mechanics. A quasi experimental research method with pre-test and post-test…
Descriptors: Scientific Concepts, Concept Formation, Science Instruction, Undergraduate Students
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Mason, Andrew J. – Physical Review Physics Education Research, 2021
This paper is a follow-up to a previous study, in which students (predominately life science majors) were found to self-express achievement goals with regard to a pre-lab problem-solving exercise in an algebra-based introductory physics course. In this paper, the same sampled population was also asked in the same feedback survey to discuss what…
Descriptors: Majors (Students), Physics, Science Instruction, Introductory Courses
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Good, Melanie; Maries, Alexandru; Singh, Chandralekha – Physical Review Physics Education Research, 2019
Over the course of instruction, not only does most introductory physics students' content knowledge evolve but their attitudes and approaches to problem solving are also likely to evolve. This change may depend on many factors including the curricula and pedagogies used, the degree to which instruction actively engages students in the learning…
Descriptors: Science Instruction, Physics, Introductory Courses, Knowledge Level
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