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Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
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Shin-Yu Kim; Inseong Jeon; Seong-Joo Kang – Journal of Chemical Education, 2024
Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Artificial Intelligence
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Alexia Micallef; Philip M. Newton – Teaching of Psychology, 2024
Background: Prior research suggests that the teaching of abstract concepts can be enhanced by the use of concrete examples, but there are few controlled studies. Objective: To replicate key findings from experiment one from Rawson et al. (2015). Method: Experiment participants studied definitions of abstract concepts from psychology, either with…
Descriptors: Teaching Methods, Instructional Effectiveness, Psychology, Concept Formation
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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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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
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Dave Arthur R. Robledo; Socorro E. Aguja; Maricar S. Prudente – Turkish Online Journal of Distance Education, 2024
Classifying, naming, and identifying insects have been complicated topics among science teachers and students. This problem is due to the highly technical collection protocols, safekeeping procedures, the unavailability of appropriate learning resources, and the closure of school laboratories and facilities due to the COVID-19 pandemic. Using the…
Descriptors: Biology, Science Experiments, Taxonomy, Entomology
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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
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)