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Nokes, Timothy J.; Hausmann, Robert G. M.; VanLehn, Kurt; Gershman, Sophia – Instructional Science: An International Journal of the Learning Sciences, 2011
Cognitive science principles should have implications for the design of effective learning environments. The self-explanation principle was chosen for the current work because it has developed significantly over the last 20 years. Early formulations hypothesized that self-explanation facilitated inference generation to supply missing information…
Descriptors: Prior Learning, Physics, Cognitive Psychology, Cognitive Science
White, Tobin – Educational Studies in Mathematics, 2009
This paper introduces an applied problem-solving task, set in the context of cryptography and embedded in a network of computer-based tools. This designed learning environment engaged students in a series of collaborative problem-solving activities intended to introduce the topic of functions through a set of linked representations. In a…
Descriptors: Problem Solving, Educational Environment, Problem Based Learning, Mathematical Applications

Klabbers, Jan H. G. – Simulation & Gaming, 1996
Gaming is discussed against a background of rationalist and historicist traditions of reality; trivial and nontrivial machine models of problem solving; and rigid-rule and free-form games. (JKP)
Descriptors: Decision Making, Educational Environment, Games, Heuristics

Law-Yone, Hubert – Simulation & Gaming, 1996
Critically analyzes an article by Jan Klabbers, focusing on methodological, epistemological, and ontological viewpoints. Examines the reasoning process whereby the actor approach model of learning environments is derived from the machine approach model; looks at claims of differentiation between rationalism and historicism, and the distinction…
Descriptors: Educational Environment, Epistemology, Games, Heuristics

Ainsworth, Shaaron – Computers & Education, 1999
Discusses multiple representations and multimedia learning environments; describes a functional taxonomy of MERs (multiple external representations); and considers how MERs are used to support cognitive processes in learning and problem solving with computers. (Contains 41 references.) (Author/LRW)
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Educational Environment