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Bahtaji, Michael Allan A. – Journal of Baltic Science Education, 2023
Exploring students' physics conceptions, science engagement and misconceptions in physics together with their association to certain variables (gender, educational background, and program of study) are essential in improving physics teaching and learning. However, few studies have been conducted to explore these three measures and almost none…
Descriptors: Physics, Science Education, Scientific Concepts, Misconceptions
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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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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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Wells, James; Henderson, Rachel; Stewart, John; Stewart, Gay; Yang, Jie; Traxler, Adrienne – Physical Review Physics Education Research, 2019
Module analysis for multiple-choice responses (MAMCR) was applied to a large sample of Force Concept Inventory (FCI) pretest and post-test responses (N[subscript pre] = 4509 and N[subscript post] = 4716) to replicate the results of the original MAMCR study and to understand the origins of the gender differences reported in a previous study of this…
Descriptors: Physics, Misconceptions, Science Tests, Scientific Concepts
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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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Waters, David P.; Amarie, Dragos; Booth, Rebecca A.; Conover, Christopher; Sayre, Eleanor C. – Physical Review Physics Education Research, 2019
Conceptual inventory surveys are routinely used in education research to identify student learning needs and assess instructional practices. Students might not fully engage with these instruments because of the low stakes attached to them. This paper explores tests that can be used to estimate the percentage of students in a population who might…
Descriptors: Response Style (Tests), Science Tests, Physics, Student Reaction
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Ferrarelli, Paola; Iocchi, Luca – Technology, Knowledge and Learning, 2021
Novel technology has been applied to improve students' learning abilities in different disciplines. The research in this field is still finding suitable methodologies, tools, and evaluation mechanisms to devise learning frameworks with high impact on students' performance. This article describes an instructional method to perform Newtonian physics…
Descriptors: Physics, Scientific Concepts, Programming, Robotics
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Pawl, Andrew – Physics Teacher, 2020
Examination of my students' individual gains on the Force Concept Inventory (FCI) over the course of several semesters led to the realization that student pretest knowledge on certain key questions appeared to be correlated to enhanced gain during the class. Acting under the hypothesis that early intervention aimed at helping the class perform…
Descriptors: Scientific Concepts, Physics, Science Instruction, Teaching Methods
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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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Hansen, John; Stewart, John – Physical Review Physics Education Research, 2021
This work is the fourth of a series of papers applying multidimensional item response theory (MIRT) to widely used physics conceptual assessments. This study applies MIRT analysis using both exploratory and confirmatory methods to the Brief Electricity and Magnetism Assessment (BEMA) to explore the assessment's structure and to determine a…
Descriptors: Item Response Theory, Science Tests, Energy, Magnets
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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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Eaton, Philip; Frank, Barrett; Willoughby, Shannon – Physical Review Physics Education Research, 2020
Items that are chained, or blocked, together appear on many of the conceptual assessments utilized for physics education research. However, when items are chained together there is the potential to introduce local dependence between those items, which would violate the assumption of item independence required by classical test theory,…
Descriptors: Science Instruction, Physics, Motion, Scientific Concepts
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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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Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2023
In this study, we investigated female and male students' sense of belonging and their academic performance measured by the Force Concept Inventory (FCI) and course grades in a calculus-based introductory physics course at a large public university in the United States. We find that compared to male students, female students' sense of belonging was…
Descriptors: Sense of Community, Predictor Variables, Introductory Courses, Physics
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