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Force Concept Inventory | 4 |
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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
Vy Le; Jayson M. Nissen; Xiuxiu Tang; Yuxiao Zhang; Amirreza Mehrabi; Jason W. Morphew; Hua Hua Chang; Ben Van Dusen – Physical Review Physics Education Research, 2025
In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and implement effective and equitable pedagogies for physics instruction. Adaptive assessments using cognitive…
Descriptors: Physics, Science Education, Scientific Concepts, Diagnostic Tests
Dalka, Robert P.; Sachmpazidi, Diana; Henderson, Charles; Zwolak, Justyna P. – Physical Review Physics Education Research, 2022
Likert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and demonstrate how network analysis (NA) can be employed to model and evaluate the interconnectedness of items in Likert-style surveys. We explore the advantages of this approach by applying the…
Descriptors: Network Analysis, Likert Scales, Student Experience, Comparative Analysis
Chengran Wang; Bing Wei – Physical Review Physics Education Research, 2024
The notion of scientific visual literacy has been advocated in recent science curriculum reform documents and related learning outcomes are expected from students. However, few studies have been conducted to determine how it is tested in high-stakes examinations. This study utilized the Visualization Blooming Tool to examine the level of visual…
Descriptors: Physics, Scientific Literacy, Science Tests, Thinking Skills
Moritz Waitzmann; Ruediger Scholz; Susanne Wessnigk – Physical Review Physics Education Research, 2024
Clear and rigorous quantum reasoning is needed to explain quantum physical phenomena. As pillars of true quantum physical explanations, we suggest specific quantum reasoning derived from quantum physical key ideas. An experiment is suggested to support such a quantum reasoning, in which a quantized radiation field interacts with an optical beam…
Descriptors: Physics, Science Instruction, Teaching Methods, Quantum Mechanics
Philipp Bitzenbauer; Sergej Faletic; Marisa Michelini; Kristóf Tóth; Gesche Pospiech – Physical Review Physics Education Research, 2024
The teaching and learning of quantum physics has recently become a topic of increasing interest in physics education research. In particular, the study of two-state systems is gaining importance as a means of teaching quantum physics at various educational levels. Meanwhile, a number of approaches have been developed that are also suitable for…
Descriptors: Physics, Science Instruction, Measurement Techniques, Teaching Methods
Olsho, Alexis; Smith, Trevor I.; Eaton, Philip; Zimmerman, Charlotte; Boudreaux, Andrew; White Brahmia, Suzanne – Physical Review Physics Education Research, 2023
We developed the Physics Inventory of Quantitative Literacy (PIQL) to assess students' quantitative reasoning in introductory physics contexts. The PIQL includes several "multiple-choice-multipleresponse" (MCMR) items (i.e., multiple-choice questions for which more than one response may be selected) as well as traditional single-response…
Descriptors: Multiple Choice Tests, Science Tests, Physics, Measures (Individuals)
John B. Buncher; Jayson M. Nissen; Ben Van Dusen; Robert M. Talbot – Physical Review Physics Education Research, 2025
Research-based assessments (RBAs) allow researchers and practitioners to compare student performance across different contexts and institutions. In recent years, research attention has focused on the student populations these RBAs were initially developed with because much of that research was done with "samples of convenience" that were…
Descriptors: Science Tests, Physics, Comparative Analysis, Gender Differences
Smith, Trevor I.; Bendjilali, Nasrine – Physical Review Physics Education Research, 2022
Several recent studies have employed item response theory (IRT) to rank incorrect responses to commonly used research-based multiple-choice assessments. These studies use Bock's nominal response model (NRM) for applying IRT to categorical (nondichotomous) data, but the response rankings only utilize half of the parameters estimated by the model.…
Descriptors: Item Response Theory, Test Items, Multiple Choice Tests, Science Tests
R. Freed; D. H. McKinnon; M. T. Fitzgerald; S. Salimpour – Physical Review Physics Education Research, 2023
This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n ¼ 15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which…
Descriptors: Self Efficacy, Science Instruction, Astronomy, Factor Analysis
Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Eaton, Philip; Frank, Barrett; Johnson, Keith; Willoughy, Shannon – Physical Review Physics Education Research, 2019
While numerous studies have analyzed the conceptions probed by the Force Concept Inventory (FCI), assessments dedicated to electricity and magnetism lack similar analyses. This paper investigated the conceptions explored by the Brief Electricity and Magnetism Assessment (BEMA) and the Conceptual Survey of Electricity and Magnetism (CSEM) using…
Descriptors: Energy, Magnets, Physics, Science Tests
Klein, P.; Becker, S.; Küchemann, S.; Kuhn, J. – Physical Review Physics Education Research, 2021
The test of understanding graphs in kinematics (TUG-K) has widely been used to assess students' understanding of this subject. The TUG-K poses different objectives to the test takers such as (1) the selection of a graph from a textual description, (2) the selection of corresponding graphs, and (3) the selection of a textual description from a…
Descriptors: Foreign Countries, Science Tests, Multiple Choice Tests, Graphs
Smith, Trevor I.; Louis, Kyle J.; Ricci, Bartholomew J., IV.; Bendjilali, Nasrine – Physical Review Physics Education Research, 2020
Research-based assessment instruments (RBAIs) are ubiquitous throughout both physics instruction and physics education research. The vast majority of analyses involving student responses to RBAI questions have focused on whether or not a student selects correct answers and using correctness to measure growth. This approach often undervalues the…
Descriptors: Multiple Choice Tests, Item Response Theory, Physics, Science Tests
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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