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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
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Tenison, Caitlin; Anderson, John R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A focus of early mathematics education is to build fluency through practice. Several models of skill acquisition have sought to explain the increase in fluency because of practice by modeling both the learning mechanisms driving this speedup and the changes in cognitive processes involved in executing the skill (such as transitioning from…
Descriptors: Skill Development, Mathematics Skills, Learning Processes, Markov Processes
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Anderson, John R. – Psychological Review, 1987
This article has three goals: to set forth some general claims about the course of skill acquisition; to discuss a series of counter intuitive predictions derived from the ACT theory; and to review the state of empirical evidence relevant to these predictions. (LMO)
Descriptors: Cognitive Processes, Epistemology, Feedback, Knowledge Level
Anderson, John R. – 1985
According to the ACT theory of skill acquisition, cognitive skills are encoded by a set of productions, which are organized according to a hierarchical goal structure. People solve problems in new domains by applying weak problem-solving procedures to declarative knowledge they have about this domain. From these initial problem solutions,…
Descriptors: Cognitive Development, Cognitive Objectives, Educational Experiments, Elementary Secondary Education