NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Beth A. Lindsey; Andrew Boudreaux; Drew J. Rosen; MacKenzie R. Stetzer; Mila Kryjevskaia – Physical Review Physics Education Research, 2024
In this study, we have explored the effectiveness of two instructional approaches in the context of the motion of objects falling at terminal speed in the presence of air resistance. We ground these instructional approaches in dual-process theories of reasoning, which assert that human cognition relies on two thinking processes. Dual-process…
Descriptors: Science Instruction, Teaching Methods, Instructional Effectiveness, Motion
Peer reviewed Peer reviewed
Direct linkDirect link
Eder Hernandez; Esmeralda Campos; Pablo Barniol; Genaro Zavala – Physical Review Physics Education Research, 2025
This study presents the development and validation of a novel multiple-choice test designed to assess university students' conceptual understanding of electric field, force, and flux. The test of understanding of electric field, force, and flux was constructed based on the results of previous studies using a phenomenographic approach to classify…
Descriptors: Physics, Scientific Concepts, Science Tests, Multiple Choice Tests
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses