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Corsiglia, Giaco; Pollock, Steven; Passante, Gina – Physical Review Physics Education Research, 2023
Broadly speaking, many physicists value intuition in their work, and many instructors hope their students develop intuition (while possibly being wary of their initial, unrefined intuitions). These considerations are especially relevant in quantum mechanics, a subject many see as counterintuitive because it is removed from classical everyday…
Descriptors: Mechanics (Physics), Quantum Mechanics, Student Attitudes, Intuition
Tu, Tao; Li, Chuan-Feng; Xu, Jin-Shi; Guo, Guang-Can – Physical Review Physics Education Research, 2023
In the context of quantum mechanics, students are often asked to use delta functions to solve problems. Here, we investigate three typical problem-solving processes using delta functions: a delta function potential well problem, a position space delta function problem, and a momentum space delta function problem. We studied students'solutions in…
Descriptors: Quantum Mechanics, Science Instruction, Problem Solving, Scientific Concepts
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
Lindsey, Beth A.; Stetzer, MacKenzie R.; Speirs, J. Caleb; Ferm, William N., Jr.; van Hulten, Alexander – Physical Review Physics Education Research, 2023
In this paper, we seek to evaluate the extent to which students can follow a deductive reasoning chain when it is presented to them. A great deal of instruction in introductory physics courses is centered on presenting students with a logical argument that starts from first principles and systematically leads to a particular conclusion. This…
Descriptors: Physics, Science Education, Scientific Concepts, Concept Formation
Al-Salmani, Fatema; Johnson, Jordan; Thacker, Beth – Physical Review Physics Education Research, 2023
We present an analysis of students' thinking skills as evidenced by free-response exam problems during the COVID-19 pandemic. We compare two inquiry-based, laboratory-based classical mechanics courses, one taught online and one taught in person during the pandemic, and two inquiry-based, laboratory-based electricity and magnetism courses, one…
Descriptors: Thinking Skills, Evaluation Methods, Comparative Analysis, Inquiry
Tong, Dazhen; Liu, Jia; Sun, Yechao; Liu, Qiaoyi; Zhang, Xiangqun; Pan, Sudong; Bao, Lei – Physical Review Physics Education Research, 2023
Work and mechanical energy is a fundamental topic in introductory physics. Studies in existing literature have shown that students have difficulties in understanding work and mechanical energy, particularly the topic of work-energy theorem. To study students' knowledge integration in learning work and mechanical energy, a conceptual framework…
Descriptors: Student Evaluation, Physics, Science Instruction, Scientific Concepts
Stefan Küchemann; Steffen Steinert; Natalia Revenga; Matthias Schweinberger; Yavuz Dinc; Karina E. Avila; Jochen Kuhn – Physical Review Physics Education Research, 2023
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language models, empirical research on their opportunities and risks in education remains limited. In this work, we demonstrate the qualities and shortcomings of using ChatGPT 3.5…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Physics
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
Wu, David G.; Heim, Ashley B.; Sundstrom, Meagan; Walsh, Cole; Holmes, N. G. – Physical Review Physics Education Research, 2022
As physics laboratory courses (labs) transition from traditional, model-verifying activities to discovery-based investigations, it becomes crucial to understand the role of the instructor in the implementation of various lab types. Prior work has started to address this need by examining either coarse-grained frequencies or fine-grained content of…
Descriptors: Physics, Science Instruction, Science Laboratories, Teacher Role
Hahn, L.; Klein, P. – Physical Review Physics Education Research, 2022
Eye tracking is becoming increasingly popular in physics education research (PER). As technology has advanced considerably in recent years and has become more user friendly, it is anticipated that eye tracking will play an increasingly significant role in assessing student learning at the process level in future studies. The main objective of this…
Descriptors: Eye Movements, Physics, Science Education, Educational Research
Holmes, N. G.; Heath, Grace; Hubenig, Katelynn; Jeon, Sophia; Kalender, Z. Yasemin; Stump, Emily; Sayre, Eleanor C. – Physical Review Physics Education Research, 2022
Physics education research is replete with observations and proposed explanations for gender disparities in physics. In this work, we operationalize a definition for equity as everyone has access to the learning environment and everyone's voice is heard (adapted from previous definitions). We review prior research that observed inequities in…
Descriptors: Physics, Science Instruction, Science Laboratories, Gender Differences
Burkholder, Eric; Salehi, Shima; Sackeyfio, Sarah; Mohamed-Hinds, Nicel; Wieman, Carl – Physical Review Physics Education Research, 2022
Introductory calculus-based mechanics ("Physics 1") is an important gateway course for students desiring to pursue a science, technology, engineering, and mathematics (STEM) career. A major challenge with this course is the large spread in the students' incoming physics preparation. This level of preparation is strongly predictive of a…
Descriptors: Science Instruction, Mechanics (Physics), STEM Education, Calculus
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
Rainey, Katherine D.; Vignal, Michael; Wilcox, Bethany R. – Physical Review Physics Education Research, 2022
Currently there are no assessment instruments available for upper-division thermal physics, though several introductory assessments are currently available. Notably missing from these introductory assessment are items targeting statistical mechanics. This leaves a gap in the content that can be assessed by upper-division thermal physics faculty.…
Descriptors: Physics, Science Instruction, Thermodynamics, College Science
Sundstrom, Meagan; Schang, Andy; Heim, Ashley B.; Holmes, N. G. – Physical Review Physics Education Research, 2022
Engaging in interactions with peers is important for student learning. Many studies have quantified patterns of student interactions in in-person physics courses using social network analysis, finding different network structures between instructional contexts (lecture and laboratory) and styles (active and traditional). Such studies also find…
Descriptors: Distance Education, Physics, Science Instruction, Social Networks