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Purwoko Haryadi Santoso; Bayu Setiaji; Wahyudi; Johan Syahbrudin; Syamsul Bahri; Fathurrahman; A. Suci Rizky Ananda; Yusuf Sodhiqin – Physical Review Physics Education Research, 2024
The Force Concept Inventory (FCI) is one of the research-based assessments established by the physics education research community to measure students' understanding of Newtonian mechanics. Former works have often recorded the notion of gendered mean FCI scores favoring male students notably in the North American (NA) based studies. Nevertheless,…
Descriptors: Gender Differences, Physics, Science Instruction, Science Tests
Lan Yang; Leheng Huang; Xianqiu Wu; Jianwen Xiong; Lei Bao; Yang Xiao – Physical Review Physics Education Research, 2024
In physics education, a number of studies have developed assessments of teachers' knowledge of student understanding (KSU) of specific physics concepts with modified versions of existing concept inventories, in which teachers were asked to predict the popular incorrect answers from students. The results provide useful but indirect information to…
Descriptors: Preservice Teachers, Knowledge Level, Science Education, Scientific Concepts
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
Salima Aldazharova; Gulnara Issayeva; Samat Maxutov; Nuri Balta – Contemporary Educational Technology, 2024
This study investigates the performance of GPT-4, an advanced AI model developed by OpenAI, on the force concept inventory (FCI) to evaluate its accuracy, reasoning patterns, and the occurrence of false positives and false negatives. GPT-4 was tasked with answering the FCI questions across multiple sessions. Key findings include GPT-4's…
Descriptors: Physics, Science Tests, Artificial Intelligence, Problem Solving
Gibin Raju; Paul Feldkamp; Whitney Gaskins – Journal of STEM Education: Innovations and Research, 2024
Enrollment in high school physics across the United States of America is notably lower than in other scientific disciplines. Given that physics serves as a prerequisite for admission into many STEM (Science, Technology, Engineering and Mathematics) degree programs, the lack of completion of this course at the high school level can significantly…
Descriptors: High School Students, Student Attitudes, Academic Persistence, Summer Programs
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
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
Timothy K. Osborn – ProQuest LLC, 2024
Concept inventories are widely used in physics education research, yet numerous studies show that concept inventories measure dramatically different learning gains in different demographic groups. Prior studies show that the performance gaps between demographic groups are already present in their preinstruction responses, suggesting that the…
Descriptors: Science Education, College Science, Physics, College Students
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
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
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
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
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
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