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Novak, Elena; Daday, Jerry; McDaniel, Kerrie – Educational Technology Research and Development, 2018
This empirical study used Keller's (Technol Instr Cogn Learn 16:79-104, 2008b) motivation, volition, and performance (MVP) theory to develop and statistically evaluate a mathematical MVP model that can serve as a research and policy tool for evaluating students' learning experiences in digital environments. Specifically, it explored undergraduate…
Descriptors: Mathematical Models, Learning Motivation, Electronic Learning, Learning Experience
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Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
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Wu, Changxu; Liu, Yili – Psychological Review, 2008
The psychological refractory period (PRP) is a basic but important form of dual-task information processing. Existing serial or parallel processing models of PRP have successfully accounted for a variety of PRP phenomena; however, each also encounters at least 1 experimental counterexample to its predictions or modeling mechanisms. This article…
Descriptors: Mathematical Models, Psychology, Cognitive Processes, Information Processing
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Hermens, Frouke; Luksys, Gediminas; Gerstner, Wulfram; Herzog, Michael H.; Ernst, Udo – Psychological Review, 2008
Visual backward masking is a versatile tool for understanding principles and limitations of visual information processing in the human brain. However, the mechanisms underlying masking are still poorly understood. In the current contribution, the authors show that a structurally simple mathematical model can explain many spatial and temporal…
Descriptors: Mathematical Models, Visual Perception, Brain, Information Processing