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Gropper, George L. – Educational Technology, 2015
Proliferation of prescriptive models in an "engineering" field is not a sign of its maturity. Quite the opposite. Materials engineering, for example, meets the criterion of parsimony. Sadly, the very large number of models in "instructional design," putatively an engineering field, raises questions about its status. Can the…
Descriptors: Instructional Design, Models, Engineering, Research Needs
Koehler, Adrie A.; Ertmer, Peggy A. – Educational Technology, 2016
Case-based instruction (CBI) offers a promising method for promoting problem-solving skills in learners. However, during CBI, the instructor shoulders major responsibility for shaping the learning that takes place. Research indicates that the facilitation techniques used during case discussions influence what gets covered, and to what extent,…
Descriptors: Web 2.0 Technologies, Case Method (Teaching Technique), Web Based Instruction, Problem Solving
Duffy, Thomas M.; Raymer, Pamela L. – Educational Technology, 2010
This article focuses on the practical issues in implementing instructional approaches based on constructivist views of learning. The authors do not view this as a procedural guide, but rather believe that the design of these inquiry based learning (IBL) approaches must be guided by the view of learning represented in constructivist frameworks.…
Descriptors: Constructivism (Learning), Inquiry, Active Learning, Teaching Methods
Gibbons, Andrew S.; Yanchar, Stephen C. – Educational Technology, 2010
A recent literature review by Smith and Boling (2009) critically examines the received view of instructional design in educational technology. Smith and Boling conclude that the foundational literature characterizes design in a way that leads to a constrained understanding of design, especially by novices. They suggest that as a field we move…
Descriptors: Instructional Design, Educational Technology, Problem Solving, Models
Glassman, Michael; Bartholomew, Mitchell; Jones, Travis – Educational Technology, 2011
The authors describe an Open Source approach to education. They define Open Source Education (OSE) as a teaching and learning framework where the use and presentation of information is non-hierarchical, malleable, and subject to the needs and contributions of students as they become "co-owners" of the course. The course transforms itself into an…
Descriptors: Web Sites, Electronic Publishing, Community Programs, Models
Clark, Richard E. – Educational Technology, 2011
There are at least three powerful insights for educational technology researchers and designers from recent neuroscience studies of the brain and from cognitive science research findings: First, our brains learn and process two very different types of knowledge; non-conscious, automated, procedural, or implicit knowledge, and conscious,…
Descriptors: Evidence, Learning Theories, Instructional Design, Problem Solving
Lineberry, C. S. – Educational Technology, 1970
Descriptors: Educational Technology, Industrial Training, Models, Problem Solving
Hashway, Robert M. – Educational Technology, 1979
Four testing schemes are outlined: post-test only, pretest/post-test, the Individually Prescribed Instruction (IPI) Model, and the EIPI Model which takes into account the learning style and the psychosocial background of the learner. The EIPI model has three phases: placement, counseling, and intervention. (RAO)
Descriptors: Educational Testing, Individual Testing, Individualized Instruction, Models
Silber, Kenneth H. – Educational Technology, 2007
The author argues that Instructional Design (ID) is a problem-solving process, not a procedure, made up of a thinking process common to designers in many fields, and a set of well-accepted, underlying ID principles. This article presents a model of those principles. Further, it argues that teaching ID as a well-structured procedure is not helpful…
Descriptors: Instructional Design, Models, Problem Solving, Educational Technology
Goldman, Leonard C.; Goldman, Nancy C. – Educational Technology, 1974
This article presents a step-by-step problem-solving model that facilitates change from a teacher-centered to a student-centered class. (Author)
Descriptors: Educational Responsibility, Learning, Models, Problem Solving
Wilson, Brent G. – Educational Technology, 1987
Describes weaknesses of traditional instruction and ways that instructional technology can help to correct these problems. Both hardware, such as computers and video, and soft technologies, such as methodologies and models, are considered. Possible negative side-effects of technology-based instruction are discussed and 27 references are listed.…
Descriptors: Conventional Instruction, Educational Strategies, Educational Technology, Instructional Design
Stambler, Moses – Educational Technology, 1972
Descriptors: Educational Problems, Models, Role Playing, Simulation
Friedman, Myles I.; Anderson, Lorin W. – Educational Technology, 1979
A 19-step general evaluation model is described through its four stages: identifying problems, prescribing program solutions, evaluating the operation of the program, and evaluating the effectiveness of the model. The role of the evaluator in decision making is also explored. (RAO)
Descriptors: Decision Making, Evaluation Methods, Evaluators, Models
Willis, Jerry; Wright, Kristen Egeland – Educational Technology, 2000
Describes the R2D2 (Reflective, Recursive Design and Development) model of constructivist instructional design. Highlights include participatory teams; progressive problem solution; phronesis, or contextual understanding; dissemination, including summative evaluation; and a new paradigm that shifts from the industrial age to the information age.…
Descriptors: Constructivism (Learning), Instructional Design, Models, Problem Solving
Jensen, Ronald L. – Educational Technology, 1971
A computer model designed to provide administrators faced with the problem of meeting demands from many quarters for the available space" with information about the effects of changes in space availability is described. (Author/AA)
Descriptors: Administrative Problems, Computer Oriented Programs, Models, Planning
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