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Stieff, Mike; Origenes, Andrea; DeSutter, Dane; Lira, Matthew; Banevicius, Lukas; Tabang, Dylan; Cabel, Gervacio – Journal of Educational Psychology, 2018
Spatial ability predicts success in STEM (Science, Technology, Education, and Mathematics) fields, particularly chemistry. This paper reports two studies investigating the unique contribution of mental rotation ability to spatial thinking in a STEM discipline. Using authentic disciplinary tasks from chemistry, we show that the difficulty of a…
Descriptors: Cognitive Processes, STEM Education, Spatial Ability, Chemistry
Rau, Martina A. – Journal of Learning Analytics, 2017
STEM instruction often uses visual representations. To benefit from these, students need to understand how representations show domain-relevant concepts. Yet, this is difficult for students. Prior research shows that physical representations (objects that students manipulate by hand) and virtual representations (objects on a computer screen that…
Descriptors: High School Students, Charter Schools, STEM Education, Knowledge Representation
Twissell, Adrian – Educational Technology & Society, 2018
Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…
Descriptors: Electronics, Case Studies, Concept Formation, Scientific Concepts
Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
Lee, Chwee Beng; Ling, Keck Voon – Campus-Wide Information Systems, 2012
Purpose: This paper aims to describe the web-based scaffold dynamic simulation system (PRES-on) designed for pre-service teachers. Design/methodology/approach: The paper describes the initial design of a web-based scaffold dynamic simulation system (PRES-on) as a cognitive tool for learners to represent problems. For the widespread use of the…
Descriptors: Computer Simulation, Internet, Web Based Instruction, Scaffolding (Teaching Technique)
van der Meij, J.; de Jong, T. – Journal of Computer Assisted Learning, 2011
Processing of multiple representations in multimedia learning environments is considered to help learners obtain a more complete overview of the domain and gain deeper knowledge. This is based on the idea that relating and translating different representations leads to reflection beyond the boundaries and details of the separate representations.…
Descriptors: Test Items, Computer Assisted Instruction, Learning Processes, Cues
Schuelke, Matthew J.; Day, Eric Anthony; McEntire, Lauren E.; Boatman, Paul R.; Boatman, Jazmine Espejo; Kowollik, Vanessa; Wang, Xiaoqian – Journal of Applied Psychology, 2009
The authors examined the relative criterion-related validity of knowledge structure coherence and two accuracy-based indices (closeness and correlation) as well as the utility of using a combination of knowledge structure indices in the prediction of skill acquisition and transfer. Findings from an aggregation of 5 independent samples (N = 958)…
Descriptors: Intelligence, Rhetoric, Computer Simulation, Validity

Lohner, Simone; van Joolingen, Wouter R.; Savelsbergh, Elwin R. – Instructional Science, 2003
Compares dyads of secondary school physics students working on a collaborative modeling task using a text-based model representation, in which correct equations are required to make the model run, with others using a graphical representation, in which the model is build by qualitatively linking variables. (MES)
Descriptors: Comparative Analysis, Computer Simulation, Cooperative Learning, High Schools