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Force Concept Inventory17
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Showing 1 to 15 of 17 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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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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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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Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2023
We aim to graphically analyze the depth of conceptual understanding behind the Force Concept Inventory (FCI) responses of students, focusing on three questions (questions 1, 15, and 28). In our study, we created and implemented subquestions to clarify and quantify the students' reasoning steps in reaching their responses to the original FCI…
Descriptors: Scientific Concepts, Concept Formation, Misconceptions, Visual Aids
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Achmad Samsudin; Aldi Zulfikar; Duden Saepuzaman; Andi Suhandi; Adam Hadiana Aminudin; Supriyadi Supriyadi; Bayram Costu – Journal of Turkish Science Education, 2024
This study aims to reconstruct Grade 11 students' misconceptions about force through the Conceptual Change Model (CCM) making use of Predict, Discuss, Explain, Observe, Discuss, Explore, Explain (PDEODEE) tasks. This study was conducted using a mixedmethod approach. The participants in this study were 65 students (33 students in the experiment…
Descriptors: Scientific Concepts, Concept Formation, Misconceptions, Foreign Countries
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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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Tolga Gök – Journal of Science Learning, 2023
The study investigated the effects of a combination of Peer Discussion and Isomorphic Problems (PD-IPs) on high school students' graph understanding and conceptual learning. The study was conducted on kinematics and Newton's Laws of Motion with 67 high school students from two groups. The experimental group (EG) consisted of 34 students, while the…
Descriptors: High School Students, Discussion (Teaching Technique), Discussion Groups, Academic Achievement
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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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Eaton, Philip; Willoughby, Shannon – Physical Review Physics Education Research, 2020
As targeted, single-conception curriculum research becomes more prevalent in physics education research (PER), the need for a more sophisticated statistical understanding of the conceptual surveys used becomes apparent. Previously, the factor structure of the Force Concept Inventory (FCI) was examined using exploratory factor analysis (EFA) and…
Descriptors: Item Response Theory, Factor Analysis, Factor Structure, Models
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Riaz, Muhammad; Marcinkowski, Thomas J.; Faisal, Ali – EURASIA Journal of Mathematics, Science and Technology Education, 2020
This study investigated the effects of Discovery Learning Scientific Community Laboratories (DL-SCL) and traditional non-DLSCL laboratories on students' conceptual understanding in a Physics-1 lab. At many universities, physics programs use a traditional lab style, despite research on the benefits for reform-oriented physics labs. This DL-SCL…
Descriptors: Undergraduate Students, Introductory Courses, Physics, Science Laboratories
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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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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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