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Journal of Computer-Based… | 4 |
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Hall, Keith A. – Journal of Computer-Based Instruction, 1983
Research on the characteristics of effective computer-based education (CBE) courseware suggests that content structure and levels of questions presented determine whether the deep cognitive processing requisite for learning takes place. A decision table of types of instructional questions covering Bloom's taxonomy is presented and discussed.…
Descriptors: Computer Assisted Instruction, Computer Programs, Instructional Design, Instructional Development
Alessi, Stephen M. – Journal of Computer-Based Instruction, 1988
Discusses the relationship of fidelity and learning in computer simulation. Highlights include a review of previous research; a discussion of transfer of learning; a taxonomy for fidelity analysis with four different types of computer-based instructional simulations; and implications for instructional design and research. (41 references)…
Descriptors: Classification, Computer Simulation, Feedback, Instructional Design
Reigeluth, Charles M.; Schwartz, Ellen – Journal of Computer-Based Instruction, 1989
Description of computer-based simulations focuses on the instructional functions of simulations and phases in the learning processes that should be activated by educational simulations. Highlights include a general model for simulation design; degree of learner control; complexity of the content; the role of the learner; and motivational…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer System Design, Content Analysis
Jonassen, David H.; And Others – Journal of Computer-Based Instruction, 1993
Discusses constructivist uses of production rule expert systems that may be used to support learning for secondary and higher education. Highlights include locus of control; and objectivist and constructivist applications of expert systems as intelligent tutoring systems, as feedback systems, as personal knowledge representation tools, and for…
Descriptors: Computer Assisted Instruction, Constructivism (Learning), Expert Systems, Feedback