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Merrill, M. David – Performance Improvement, 1997
Discusses design requirements, and advantages and disadvantages of the following learner-centered instructional development tools: information containers; authoring systems; templates, models, or widgets; learning-oriented instructional development tools; and adaptive learning-oriented systems. (AEF)
Descriptors: Authoring Aids (Programming), Computer Software, Design Requirements, Information Technology
Merrill, M. David; And Others – Educational Technology, 1990
Discusses the relationship of constructivism with instructional design theory. Topics discussed include instructional systems development; objectives; learning versus instruction; deep learning versus surface learning; situated learning versus formal instruction; adaptive learning; and the role of interactive educational technology in the design…
Descriptors: Educational Environment, Educational Objectives, Educational Technology, Educational Theories
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Rosenberg-Kima, Rinat B.; Merrill, M. David; Baylor, Amy L.; Johnson, Tristan E. – Educational Technology Research and Development, 2022
Novice programmers, who have yet to form effective mental models of the domain, often experience high cognitive load, low confidence, and high anxiety, negatively affecting learning and retention rates. These cognitive and affective limitations pose an instructional challenge. This study aimed to investigate the effectiveness of a whole-task…
Descriptors: Computer Science Education, Instructional Effectiveness, Novices, Programming
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Allen, Brockenbrough S.; Merrill, M. David – Journal of Educational Computing Research, 1985
Presents a theoretical framework for designing computer-based systems that guide students in learning strategy selection; compares theories for determining when system-assigned strategies will promote knowledge and skill acquisitions; reviews relationship between learning and instructional strategies; and outlines potential applications of…
Descriptors: Aptitude Treatment Interaction, Cognitive Processes, Cognitive Style, Computer Assisted Instruction
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Gagne, Robert M.; Merrill, M. David – Educational Technology, Research and Development, 1990
Discusses the integration of multiple learning goals, or objectives, into instructional design procedures. Models of instructional design are described with emphasis on human performance factors; categories of integrative goals are explained, including denoting, manifesting, and discovering; and implications for the transfer of training are…
Descriptors: Behavioral Objectives, Discovery Processes, Instructional Design, Models
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Merrill, M. David – Educational Technology Research and Development, 2002
Examines instructional design theories and elaborates principles about when learning is promoted, i.e., when learners are engaged in solving real-world problems, when existing knowledge is activated as a foundation for new knowledge, and when new knowledge is demonstrated to the learner, applied by the learner, and integrated into the learner's…
Descriptors: Educational Principles, Elementary Secondary Education, Instructional Design, Learning Processes
Reigeluth, Charles M.; Merrill, M. David – Educational Technology, 1979
Describes three classes of variables which should be considered when one is designing instructional materials, doing research on instruction, or developing better methods of instruction, and proposes a classification scheme which is summarized in the last of the 13 figures that illustrate the article. A blbliography is included. (Author/RAO)
Descriptors: Educational Development, Educational Research, Educational Theories, Instructional Design
Merrill, M. David – Educational Technology, 1988
Discussion of intelligent tutoring systems highlights various instructional models which emphasize experiential interactions. Topics discussed include computer assisted instruction; instructional strategies; the TICCIT system; branching; the Socratic method; definitions of tutoring and instruction; students' interactions with the computer; advisor…
Descriptors: Branching, Computer Assisted Instruction, Experiential Learning, Expert Systems