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Emily M. Stump; Matthew Dew; Gina Passante; N. G. Holmes – Physical Review Physics Education Research, 2023
Measurement uncertainty is an important topic in the undergraduate laboratory curriculum. Previous research on student thinking about experimental measurement uncertainty has focused primarily on introductory-level students' procedural reasoning about data collection and interpretation. In this paper, we extended this prior work to study…
Descriptors: Quantum Mechanics, Introductory Courses, Thinking Skills, Physics
Vidushi Adlakha; Eric Kuo – Physical Review Physics Education Research, 2023
Recent critiques of physics education research (PER) studies have revoiced the critical issues when drawing causal inferences from observational data where no intervention is present. In response to a call for a "causal reasoning primer" in PER, this paper discusses some of the fundamental issues in statistical causal inference. In…
Descriptors: Physics, Science Education, Statistical Inference, Causal Models
Alexandra Werth; Benjamin Pollard; Robert Hobbs; H. J. Lewandowski – Physical Review Physics Education Research, 2023
Understanding measurement uncertainty is crucial in experimental physics, as it enables accurate and reliable measurements, facilitates comparison between measurements, and aids in designing experiments. Consequently, measurement uncertainty has emerged as a critical learning goal for many introductory physics labs. Here, we explore the impact of…
Descriptors: Physics, Science Instruction, Thinking Skills, Measurement
Benjamin P. Schermerhorn; John R. Thompson – Physical Review Physics Education Research, 2023
Much of physics involves the construction and interpretation of equations. Research on physics students' understanding and application of mathematics has employed Sherin's symbolic forms or Fauconnier and Turner's conceptual blending as analytical frameworks. However, previous symbolic forms analyses have commonly treated students' in-context…
Descriptors: Physics, Science Instruction, Equations (Mathematics), Mathematical Concepts
Joshua Rutberg; Diane Jammula; Sheehan Ahmed – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] This study investigated the development of four new novice graduate teaching assistants (GTAs) and one nontenure track (NTT) faculty member assigned to teach an introductory physics laboratory course based on the investigative science…
Descriptors: Laboratories, Teaching Assistants, College Faculty, College Science
Michael Vignal; Gayle Geschwind; Benjamin Pollard; Rachel Henderson; Marcos D. Caballero; H. J. Lewandowski – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] Measurement uncertainty is a critical feature of experimental research in the physical sciences, and the concepts and practices surrounding measurement uncertainty are important components of physics lab courses. However, there has not…
Descriptors: Scientific Concepts, Science Experiments, Physics, Science Laboratories
Karel Kok; Burkhard Priemer – Physical Review Physics Education Research, 2023
Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…
Descriptors: Data Analysis, Comparative Analysis, Secondary School Students, Teaching Methods
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
Mary Jane Brundage; Alysa Malespina; Chandralekha Singh – Physical Review Physics Education Research, 2023
Collaborative learning with peers can lead to students learning from each other and solving physics problems correctly not only in situations in which one student knows how to solve the problems but also when none of the students can solve the problems alone. We define the rate of construction as the percentage of groups collaborating on problem…
Descriptors: Peer Relationship, Cooperative Learning, Science Education, Quantum Mechanics
Alysa Malespina; Christian D. Schunn; Chandralekha Singh – Physical Review Physics Education Research, 2023
Students' motivational beliefs, such as disciplinary intelligence mindsets, can influence their physics performance and persistence. Intelligence mindset beliefs have long been argued to fall along of continuum between fixed and growth mindsets. Those with fixed physics mindsets believe that ability in physics is innate and unchangable, while…
Descriptors: Physics, Predictor Variables, Grades (Scholastic), Gender Differences
Sebastian Becker; Lynn Knippertz; Stefan Ruzika; Jochen Kuhn – Physical Review Physics Education Research, 2023
Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…
Descriptors: Persistence, Context Effect, Learning Strategies, Eye Movements
Daryl McPadden; Vashti Sawtelle; Erin M. Scanlon; Jacquelyn J. Chini; Harsna Chahal; Regan Levy; Alex Reynolds – Physical Review Physics Education Research, 2023
All people vary in their needs and abilities; however, typical research practices do not consider these variations, which likely impacts who participates in research studies. Additionally, few PER studies have investigated aspects of disability or reported disability identity. Combined, this means that PER researchers typically do not seek out the…
Descriptors: Qualitative Research, Students with Disabilities, Attention Deficit Hyperactivity Disorder, Physical Education
Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2023
Research-validated multiple-choice questions comprise an easy-to-implement instructional tool that serves to scaffold student learning and formatively assess students' knowledge. We present findings from the implementation, in consecutive years, of a research-validated multiple-choice question sequence [referred to in this study as a clicker…
Descriptors: Science Tests, Multiple Choice Tests, Physics, Online Courses
Joe Olsen; Debbie Andres; Nicolette Maggiore; Charles Ruggieri – Physical Review Physics Education Research, 2023
Understanding how relationships between instructors and students develop is important for understanding the undergraduate student experience. We expect the development of positive relationships is related to the social practices (e.g., greetings, using names, sympathizing, or empathizing with students) that instructors use in the course of normal…
Descriptors: Undergraduate Students, Teaching Assistants, Interaction, Social Behavior
Emily M. Stump; Mark Hughes; Gina Passante; N. G. Holmes – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] Uncertainty is an important concept in physics laboratory instruction. However, little work has examined how students reason about uncertainty beyond the introductory (intro) level. In this work we aimed to compare intro and beyond-intro…
Descriptors: Student Attitudes, Scientific Attitudes, Physics, Introductory Courses