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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
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Bargiela, Ariadna; Artero, Ruben – Biochemistry and Molecular Biology Education, 2021
Laboratory practical sessions are critical to scientific training in biology but usually fail to promote logical and hypothesis-driven reasoning and rely heavily on the teacher's instructions. This paper describes a 2-day laboratory practicum in which students prepare and analyze larval cuticle preparations of "Drosophila" segmentation…
Descriptors: Animals, Logical Thinking, Genetics, Science Instruction
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Wise, Michael J.; Collins, Rachel – Bioscene: Journal of College Biology Teaching, 2020
The protection of earth's biodiversity requires a sophisticated understanding of how human activities can affect the relative abundances of species in natural ecological communities. Here, we report on an introductory biology laboratory activity in which students quantified biodiversity while investigating one of the most important controls on the…
Descriptors: Biodiversity, Biology, Science Instruction, Introductory Courses
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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)