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Instructional Science | 10 |
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Reigeluth, Charles M. | 2 |
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Mason, Emanuel J. | 1 |
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Brennan, Robert L. – Instructional Science, 1975
This paper considers both theoretical and practical issues involving the use of different kinds of achievement data and time data in evaluating an instructional system. (Author)
Descriptors: Achievement Tests, Evaluation, Instructional Systems, Models

Reigeluth, Charles M.; And Others – Instructional Science, 1980
Discusses the importance of models of instruction and the need to consider subject-matter structure in organizing instruction. The components of the elaboration model and variations in the model for different kinds of goals are described. (Author/CHC)
Descriptors: Bibliographies, Diagrams, Educational Research, Educational Theories

Nussbaum, Joseph; Novick, Shimshon – Instructional Science, 1982
Presents an instructional strategy based on the thesis that science concept learning involves cognitive accommodation of an initially held framework. The three stages of the strategy--exposing alternative frameworks, creating conceptual conflict, and encouraging cognitive accommodation--are illustrated in two lessons on the particle model of…
Descriptors: Concept Formation, Concept Teaching, Elementary Education, Foreign Countries

Laurillard, Diana – Instructional Science, 1987
Considers two basic models of the teaching-learning process, described as the didactic and the communication models, and applies them to computer assisted learning. Conventional and intelligent tutorials and simulation are used as examples to compare the amount of control students have over learning strategy, content manipulation, and domain…
Descriptors: Computer Assisted Instruction, Computer Simulation, Learning Processes, Learning Strategies

Self, John – Instructional Science, 1986
Considers possibility of developing a computer tutor around an explicit concept-learning theory derived from machine learning techniques. Some problems with using the focusing (and similar) algorithms in this role are discussed and possible solutions are developed. Design for a guided discovery learning system for tutoring concepts is proposed.…
Descriptors: Algorithms, Computer Software, Concept Teaching, Databases

Reigeluth, Charles M. – Instructional Science, 1983
New knowledge is made meaningful by relating it to prior knowledge. Although meaningfulness usually relates new knowledge to prior superordinate knowledge, arbitrarily meaningful knowledge, coordinate, subordinate, and analogic ideas, experiential knowledge, and cognitive strategy also facilitate learning. Optimization of prior knowledge is done…
Descriptors: Cognitive Objectives, Cognitive Processes, Educational Research, Epistemology

Kember, David; Kwan, Kam-Por – Instructional Science, 2000
Describes a study that was conducted to characterize the approaches to teaching of university lecturers and to examine the relationship between lecturers' approaches to teaching and their conceptions of good teaching. Highlights include a model relating beliefs, teaching and learning; motivational distinctions; accommodation for student…
Descriptors: Context Effect, Higher Education, Instructional Effectiveness, Learning Processes

Mason, Emanuel J.; And Others – Instructional Science, 1983
These papers presented at a symposium describe how tenth grade students would be taught the slope of a line in geometry using three different approaches to teaching theory: behaviorism, Piagetian cognitive development, and information processing. Analyses of each approach focus on manner of learner cooperation and differing teacher role. (MBR)
Descriptors: Cognitive Development, Geometry, Grade 10, Information Processing

Instructional Science, 1987
Presents 257 abridged abstracts of articles from volumes 1-15 of "Instructional Science," an international interdisciplinary journal that deals with the nature, theory, and practice of the instructional process and the learning that follows. (LRW)
Descriptors: Abstracts, Annotated Bibliographies, Epistemology, Instructional Design

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