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Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
Kalender Arikan – Journal of Baltic Science Education, 2025
Learning style (LS), either visual or verbal, has become debatable in the f ield of education vis-à-vis its relation to student success. However, it remains a valuable research theme for improving learning activities in the teaching of highly visual science fields, including biology, physics, and chemistry. Previous studies have primarily focused…
Descriptors: Cognitive Style, Biology, Retention (Psychology), Science Education
Mayerhofer, Patrick; Carter, James; Donelan, J. Maxwell – Advances in Physiology Education, 2022
To help educators deliver their physiology laboratory courses remotely, we developed an inexpensive, customizable hardware kit along with freely available teaching resources. We based the course design on four principles that should allow students to conduct insightful experiments on different physiological systems. First, the experimental setup…
Descriptors: Laboratory Experiments, Science Instruction, Physiology, Cost Effectiveness
Meagher, Brian J.; Cataldo, Kirstyn; Douglas, Bruce J.; McDaniel, Mark A.; Nosofsky, Robert M. – Journal of Geoscience Education, 2018
A highly controlled laboratory experiment was conducted that suggested computer-based image training of rock classifications can provide a useful supplement to physical rock training. Two groups of participants learned to classify samples of 12 major types of rocks during a training phase. One group was trained using computer images of the rock…
Descriptors: Science Laboratories, Laboratory Experiments, Geology, Educational Technology
Allen, Laura K.; Mills, Caitlin; Perret, Cecile; McNamara, Danielle S. – Grantee Submission, 2019
This study examines the extent to which instructions to self-explain vs. "other"-explain a text lead readers to produce different forms of explanations. Natural language processing was used to examine the content and characteristics of the explanations produced as a function of instruction condition. Undergraduate students (n = 146)…
Descriptors: Language Processing, Science Instruction, Computational Linguistics, Teaching Methods
California Community Colleges, Chancellor's Office, 2022
The California Community Colleges Chancellor's Office is pleased to present the 2021 Report on Course Section Offerings and Plans for Future Instruction for California Community Colleges. Pursuant to Senate Bill 129 (Skinner, 2021), California community college districts are required to report on the total number of course sections offered, broken…
Descriptors: Community Colleges, Student Centered Learning, Course Selection (Students), Futures (of Society)
Bromfield-Lee, Deborah C.; Oliver-Hoyo, Maria T. – Journal of Chemical Education, 2007
This laboratory experiment utilizes the characteristic aromas of some functional groups to exploit the sense of smell as a discriminating tool in an organic qualitative analysis scheme. Students differentiate a variety of compounds by their aromas and based on their olfactory classification identify an unknown functional group. Students then…
Descriptors: Student Attitudes, Classification, Laboratory Experiments, Olfactory Perception