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Showing 1 to 15 of 264 results Save | Export
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Michael E. Robbins; Nathan D. Davis; Eric W. Burkholder – Physical Review Physics Education Research, 2025
There is currently little physics education literature examining thinking and learning in graduate education and even less literature characterizing problem solving among physics graduate students despite this being an essential professional skill for physicists. Given reports of discrepancies between physics problem solving in the undergraduate…
Descriptors: Decision Making, Graduate Students, Physics, Science Instruction
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Md Sanyat Rabby; Charles Henderson – Physical Review Physics Education Research, 2025
Introductory physics is a gateway course that is required for many science, technology, engineering, and mathematics (STEM) majors. In introductory physics courses, women and racially minoritized students often have lower grades and higher attrition than white men. Inclusive teaching is widely recommended to ensure that all students have the…
Descriptors: Males, Science Teachers, Physics, Introductory Courses
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Samuel A. Atarah; Martin Egblewogbe; Florence Christianah Awoniyi; Abraham Amankwah – Africa Education Review, 2025
Students' performance in introductory physics at a university in Ghana was assessed over three academic years. The study covered two physics courses delivered to first-year students at the university. Two factors--access to tutorial sessions delivered outside of lecture times by teaching assistants and access to a formula sheet during the…
Descriptors: Foreign Countries, Introductory Courses, Physics, Science Instruction
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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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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
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Khaleel Al-Said; Nidal Amarin; Lyubov Krasnova – Education and Information Technologies, 2024
This study aims to determine how the use of virtual reality impacts physics students, their knowledge, and the quality of training. The study involved 116 students aged 17-19. The main purpose is to explore the effect that VR technology has on students' knowledge and motivation. As per usual, the students were divided into two research groups:…
Descriptors: Physics, Science Instruction, Computer Simulation, Student Motivation
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Álvaro Suárez; Arturo C. Marti; Kristina Zuza; Jenaro Guisasola – Physical Review Physics Education Research, 2024
We investigate learning difficulties among second-year students in electromagnetism courses when they apply Ampère-Maxwell's law. Using phenomenography, we analyzed written answers from 65 undergraduate physics students to four questions on Ampère's and Ampère-Maxwell's laws. We complemented our research by interviewing 12 students. To design the…
Descriptors: Learning Problems, Undergraduate Students, Energy, Magnets
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Kelly Miller; Tobias Espinosa; Ives Araujo; Isaura Gallegos – Physical Review Physics Education Research, 2023
Self-efficacy is an important measure in science education as it is predictive of persistence and success in science, technology, engineering, and mathematics (STEM) courses and is an influential factor in students' decisions to major in STEM fields. It is unclear what effect active teaching strategies have on students' self-efficacy, which is…
Descriptors: Self Efficacy, Physics, Science Instruction, Student Attitudes
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Muhammad Aswin Rangkuti; Ricardo Karam – Physical Review Physics Education Research, 2023
Despite its crucial importance in physics, there are not many studies focusing on student difficulties and teaching strategies related to the (1D) wave equation in the PER literature. In order to contribute to fill this gap, we conducted a study with university students which focused on specific aspects that are crucial for understanding this…
Descriptors: Physics, Science Instruction, Teaching Methods, Scientific Concepts
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Beni Mbwile; Jonathan Hegwa Paskali – Journal of Turkish Science Education, 2025
Tanzanian secondary school students have consistently performed poorly in the topic of motion in a straight line, which involves kinematics formulas and graphs. Despite instruction, many struggle to plot and interpret these graphs, largely due to limited conceptual understanding among both learners and teachers. This study examines the conceptual…
Descriptors: Foreign Countries, Preservice Teachers, Science Teachers, Physics
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Yessi Affriyenni; Helen Georgiou; Noah Finkelstein – Physical Review Physics Education Research, 2025
Examining teaching practices in university physics is crucial for addressing the lack of student achievement in and engagement with the subject. Research-based instructional strategies (RBIS) offer evidence-based methods to enhance student erengagement and learning outcomes, but face adoption challenges due to institutional, contextual, and…
Descriptors: Teaching Methods, Science Instruction, Physics, College Science
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Sebastian Kilde-Westberg; Andreas Johansson; Jonas Enger – Physical Review Physics Education Research, 2025
Generative AI tools, including the popular ChatGPT, have had a significant impact on discourses about future work and educational practices. Previous research in science education has highlighted the potential of generative AI in various education-related areas, including generating valuable discussion material, solving physics problems, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Laboratories, Physics
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Nthoesele Hlaela; Loyiso C. Jita – Journal of Baltic Science Education, 2024
Pedagogical content knowledge (PCK) is considered an important ingredient in shaping classroom practice. PCK requires valid measurement at domain-specific level on different components excluding the teaching context. While the research focuses on measuring the PCK of unqualified teachers and pre-service teachers, the description of qualified…
Descriptors: Foreign Countries, Physics, Secondary School Teachers, Pedagogical Content Knowledge
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Anne van der Linden; Ralph F. G. Meulenbroeks; Wouter R. van Joolingen – Journal of Computer Assisted Learning, 2024
Background: Research on cognitive effects of educational games in general shows promising results. However, there are large variations in learning outcomes between individual educational games. Research on the design process and different design elements of educational games has led to some interesting directions, but some design aspects remain…
Descriptors: Scientific Principles, Mechanics (Physics), Educational Games, Science Education
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Zerihun Anibo Cashata; Desta Gebeyehu Seyoum; Fikadu Eshetu Gashaw – Anatolian Journal of Education, 2023
The main purpose of the study was to investigate the effect of Jigsaw-4 problem-solving instruction on preservice physics teachers' (PSPT) problem-solving skills in the college of teacher education in the Southern nation nationality region of Ethiopia. The study involves 136 first-year PSPTs who are attending their preservice teacher education…
Descriptors: Cooperative Learning, Problem Solving, Physics, Science Instruction
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