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Pi-Hun Yang; Chung-Yuan Hsu; Gwo-Jen Hwang; Gwo-Haur Hwang; Min-Ai Yang – Journal of Baltic Science Education, 2024
The complexity of gear concepts, often misunderstood by young children, highlights the need for educational frameworks beyond simple play. To examine the effects of using the prediction, observation, and explanation (POE) model in building block activities, a true experimental design was implemented. A total of 49 preschoolers were randomly…
Descriptors: Preschool Children, Preschool Education, Play, Science Education
Leah J. Scharlott; Dalton W. Rippey; Vanessa Rosa; Nicole M. Becker – Journal of Chemical Education, 2024
The alignment of teaching and assessment in chemistry courses is critical for the practice of science and positive student learning outcomes. This paper addresses how instructors can align what they do in class with assessments across topics to improve students' understanding and explanations of chemical phenomena. We drew on the foundations of…
Descriptors: Introductory Courses, Chemistry, Science Education, Causal Models
Nash, Padraig; Shaffer, David Williamson – Journal of Computer Assisted Learning, 2011
Players of epistemic games--computer games that simulate professional practica--have been shown to develop epistemic frames: a profession's particular way of seeing and solving problems. This study examined the interactions between players and mentors in one epistemic game, Urban Science. Using a new method called epistemic network analysis, we…
Descriptors: Mentors, Network Analysis, Practicums, Problem Solving
Hopper, Lydia M.; Flynn, Emma G.; Wood, Lara A. N.; Whiten, Andrew – Journal of Experimental Child Psychology, 2010
In the first of two experiments, we demonstrate the spread of a novel form of tool use across 20 "cultural generations" of child-to-child transmission. An experimentally seeded technique spread with 100% fidelity along twice as many "generations" as has been investigated in recent exploratory "diffusion" experiments of this type. This contrasted…
Descriptors: Socialization, Population Distribution, Imitation, Observational Learning
Stice, James E. – Engineering Education, 1987
Describes the learning style inventory and learning cycle developed by David Kolb. Discusses the learning cycle's four stages as concrete experience, reflective observation, abstract conceptualization, and active experimentation. Offers an example from a chemical engineering class in which Kolb's ideas are used in an effort to improve instruction.…
Descriptors: Chemical Engineering, Cognitive Style, College Science, Engineering Education