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Lee, Hee Seung; Betts, Shawn; Anderson, John R. – Journal of Experimental Education, 2017
Appreciation of problem structure is critical to successful learning. Two experiments investigated effective ways of communicating problem structure in a computer-based learning environment and tested whether verbal instruction is necessary to specify solution steps, when deep structure is already embellished by instructional examples.…
Descriptors: Computer Assisted Instruction, Teaching Methods, Verbal Communication, Problem Solving
Anderson, John R. – Cognitive Science, 2005
This article describes the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture (Anderson et al., 2004; Anderson & Lebiere, 1998) and its detailed application to the learning of algebraic symbol manipulation. The theory is applied to modeling the data from a study by Qin, Anderson, Silk, Stenger, & Carter (2004) in which children…
Descriptors: Cognitive Processes, Models, Symbols (Mathematics), Algebra