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Performance and Instruction | 9 |
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Yelon, Stephen; Massa, Michael – Performance and Instruction, 1987
Discusses the heuristics that should guide the creation of good examples to be used in instructional design. The elements of accuracy, clarity, attractiveness, and transferability are described, and an example of the concept of role conflict is given. (LRW)
Descriptors: Heuristics, Industrial Training, Instructional Design, Instructional Effectiveness
Dick, Walter – Performance and Instruction, 1986
Addresses the four questions raised by Yelon about use of pretests with instruction--should I pretest; on what should I pretest; how should I pretest; how should I adjust to results--and answers them from the perspective of instructional designers conducting formative evaluations to improve quality of instruction under development. (MBR)
Descriptors: Formative Evaluation, Instructional Design, Material Development, Motivation
Geis, George L. – Performance and Instruction, 1987
This discussion of formative evaluation as part of the instructional design process focuses on developmental testing and expert review. A review of the literature helps define each approach, research on formative evaluation is reviewed, and 37 references are provided. (LRW)
Descriptors: Field Tests, Formative Evaluation, Guidelines, Heuristics
Mikos, Roseann; And Others – Performance and Instruction, 1987
This article presents guidelines designed to assist instructional developers in improving their performance in workload estimates for prospective training development projects. Also provided is a description of an instructional systems development model for estimating, which includes front end analysis, design, implementation, and evaluation. (LRW)
Descriptors: Conferences, Cost Estimates, Guidelines, Improvement
Viau, Rolland; Clark, Richard E. – Performance and Instruction, 1987
Discusses new theories of feedback which suggest that all students may not benefit from immediate, positive feedback, depending on their level of ability and the difficulty of the task. Cognitive interpretations of feedback research are reviewed, including motivation to learn, and applications to instructional design are presented. (LRW)
Descriptors: Academic Ability, Aptitude Treatment Interaction, Computer Assisted Instruction, Difficulty Level
Keller, John M. – Performance and Instruction, 1987
Motivational design, a major component of the ARCS (Attention, Relevance, Confidence, Satisfaction) model that describes how to understand the motivation to learn, is described in this second article of a two-part series. Topics addressed include audience analysis; motivational objectives, measures, and motivational strategy design; and…
Descriptors: Audience Analysis, Educational Objectives, Educational Strategies, Instructional Design
Ilgen-Lieth, Marya; Hazen, Margret – Performance and Instruction, 1987
Focuses on the first of three stages of the path evaluation procedure for instructional software, performing the preliminary evaluation. The three main steps involved in preliminary evaluation are (1) a program is chosen for evaluation; (2) information is exchanged with the faculty developer; and (3) the instructional designer reviews the software…
Descriptors: Computer Software Reviews, Courseware, Diagrams, Evaluation Criteria
Mikos, Roseann; And Others – Performance and Instruction, 1987
Reviews a workshop conducted at the 1987 National Society for Performance and Instruction (NSPI) Conference on estimating workload and costs for training development. Information derived from two case studies is used to compare workload estimates done by experienced managers with those done by professionals with formal instructional design…
Descriptors: Administrators, Case Studies, Comparative Analysis, Conferences
Aster, David J.; Clark, Richard E. – Performance and Instruction, 1985
Reviews current research on different learning styles and capabilities of experts and novices which may guide software design: memory, cognitive processing, and performance differences; automatization, and coping strategies. Procedures which may enhance expert and novice performance when built into software are outlined. (MBR)
Descriptors: Academic Ability, Cognitive Style, Courseware, Instructional Design