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Sedlmeier, Peter – Instructional Science, 2000
Proposes a new training approach to teach effective statistical thinking and describes two studies where people were trained to solve tasks involving conjunctive and conditional probabilities using a frequency grid. Discusses frequency format versus probability format, and describes results that suggest the importance of learning by doing.…
Descriptors: Experiential Learning, Instructional Effectiveness, Probability, Problem Solving
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Scandura, Joseph M. – Instructional Science, 2001
Presents the current status and new perspectives on the Structured Learning Theory (SLT), with special consideration given to how SLT has been influenced by recent research in software engineering. Topics include theoretical constructs; content domains; structural analysis; cognition; assessing behavior potential; and teaching and learning issues,…
Descriptors: Behavior Development, Cognitive Processes, Computer Software Development, Learning Theories
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Lieberman, Henry – Instructional Science, 1986
Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…
Descriptors: Artificial Intelligence, Decision Making, Educational Environment, Feedback
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Mayer, Richard E. – Instructional Science, 1998
Examines the role of cognitive, metacognitive, and motivational skills in problem solving. Cognitive skills include instructional objectives, components in a learning hierarchy, and information-processing components. Metacognitive skills include strategies for reading comprehension, writing, and mathematics. Motivational skills include motivation…
Descriptors: Cognitive Processes, Learning Motivation, Learning Strategies, Metacognition
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Ohlsson, Stellan – Instructional Science, 1986
Research on intelligent tutoring systems is discussed from the point of view of providing moment-by-moment adaptation of content and form of instruction to the changing cognitive needs of individual learners. Implications of this goal for cognitive diagnosis, subject matter analysis, teaching tactics, and teaching strategies are analyzed. (Author)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Simulation, Diagnostic Teaching
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Van Merrienboer, Jeroen J. G.; Krammer, Hein P. M. – Instructional Science, 1987
Compares the expert, spiral, and reading approaches to instructional strategies for introductory computer programming courses. Based on ACT (Adaptive Control of Thought) theory and relevant research, the differences between declarative and procedural instruction are identified, and six tactics used to design courses and evaluate strategies are…
Descriptors: Cognitive Psychology, Comparative Analysis, Computer Literacy, High Schools
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Gourgey, Annette F. – Instructional Science, 1998
Describes self-regulatory processes that promote achievement in the basic skills of reading (clarifying purpose, understanding meanings, drawing inferences, looking for relationships, reformulating text) and mathematical problem solving (clarifying problem goals, understanding concepts, applying knowledge, monitoring progress). Experiences in…
Descriptors: Academic Achievement, Basic Skills, Higher Education, Learning Processes
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Jelsma, Otto; And Others – Instructional Science, 1990
Presents a detailed description of an instructional design model called ADAPT (Apply Delayed Automatization for Positive Transfer), which offers guidelines for the development of instructional systems that offer transfer of learned skills. The cognitive architecture is described, the process of skill acquisition is discussed, and two illustrative…
Descriptors: Cognitive Psychology, Cognitive Structures, Guidelines, Instructional Design