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Uysal, Murat Pasa – Turkish Online Journal of Distance Education, 2012
Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…
Descriptors: Educational Technology, Information Technology, Computer System Design, Decision Support Systems
Samuels, Jeffrey D. – ProQuest LLC, 2013
Computer-Assisted Language Learning (CALL) is an established field of academic inquiry with distinct applications for second language teaching and learning. Many CALL professionals direct language labs or language resource centers (LRCs) in which CALL software applications and generic software applications support language learning programs and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Computer Software Selection
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Shee, Daniel Y.; Wang, Yi-Shun – Computers & Education, 2008
The web-based e-learning system (WELS) has emerged as a new means of skill training and knowledge acquisition, encouraging both academia and industry to invest resources in the adoption of this system. Traditionally, most pre- and post-adoption tasks related to evaluation are carried out from the viewpoints of technology. Since users have been…
Descriptors: User Satisfaction (Information), Computer Assisted Instruction, Criteria, Information Systems
Vos, Hans J. – 1994
A method is proposed for optimizing cutting scores for a selection-placement-mastery problem simultaneously. A simultaneous approach has two advantages over separate optimization. First, test scores used in previous decisions can be used as "prior data" in later decisions, increasing the efficiency of the decisions. Then, more realistic…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Criteria, Cutting Scores
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Watson, Edward D. – Clearing House, 1986
Offers 10 suggestions to help teachers avoid the pitfalls encountered by unknowing software purchasers. Suggestions include checking for compatibility, determining objectives, testing for material sequence, and reading the documentation. (FL)
Descriptors: Computer Assisted Instruction, Computer Software, Decision Making, Evaluation Criteria
Romiszowski, Alexander J. – Educational Technology, 1987
Describes the current status and limitations of expert systems, and explores the possible applications of such systems in education and training. The use of expert systems as tutors, as job aids, and as a vehicle for students to develop their own expert systems on specific topics are discussed. (40 references) (CLB)
Descriptors: Algorithms, Computer Assisted Instruction, Decision Making, Evaluation Criteria
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Scott, Diana; Barker, Jeanne – Reading Teacher, 1987
Focuses on the selection and evaluation of courseware for use with a reading program. Gives examples of courseware to support the ideas presented, together with a sample checklist for software evaluation. (FL)
Descriptors: Computer Assisted Instruction, Computer Software, Decision Making, Elementary Education
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Quaddus, M. A. – Computers & Education, 1997
This discussion of multiple criteria decision making (MCDM) focuses on an integrated system called MOLP/PC for learning MCDM tools for real world decision making. Results of an empirical test to measure the effectiveness of MOLP/PC are discussed, and the use of MOLP/PC for college courses in Singapore and Australia is described. (Author/LRW)
Descriptors: Computer Assisted Instruction, Criteria, Decision Making, Foreign Countries
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Zvacek, Susan M. – Quarterly Review of Distance Education, 2000
Discusses the software review process recently completed at the University of Kansas that resulted in the adoption of an integrated Web course development package. Highlights include stakeholders represented on the evaluation team; establishing review criteria; identifying and evaluating software; demonstrations; and recommendations. (Author/LRW)
Descriptors: Computer Assisted Instruction, Computer Software Evaluation, Decision Making, Evaluation Criteria
Molek, Robert; Switzer, Dennis – Instructional Innovator, 1984
Recommends that potential educational software purchasers examine publications containing software reviews, become involved in workshops that develop evaluation criteria for technical issues and instructional considerations of educational software, and obtain samples of actual software free of charge for review. Suggested periodicals for software…
Descriptors: Computer Assisted Instruction, Computer Software, Decision Making, Design Requirements
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Smith, David; Keep, Ros – Computers and Education, 1988
Reviews some of the problems involved in the evaluation of educational software, and describes a classroom-based case study approach to software evaluation intended for application by autonomous self-programming groups of teachers. (20 references) (Author/CLB)
Descriptors: Case Studies, Computer Assisted Instruction, Courseware, Decision Making
Wholeben, Brent Edward – 1982
This report describing the use of operations research techniques to determine which courseware packages or what microcomputer systems best address varied instructional objectives focuses on the MICROPIK model, a highly structured evaluation technique for making such complex instructional decisions. MICROPIK is a multiple alternatives model (MAA)…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Computer Programs, Criteria
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Tergan, Sigmar-Olaf – Innovations in Education and Training International, 1998
Reviews strengths and weaknesses of check lists for the evaluation of computer software and outlines consequences for their practical application. Suggests an approach based on an instructional design model and a comprehensive framework to cope with problems of validity and predictive power of software evaluation. Discusses prospects of the…
Descriptors: Check Lists, Computer Assisted Instruction, Computer Software Development, Computer Software Evaluation
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Prohaska, Charles R.; Frank, Ellen J. – Simulation and Games, 1990
Describes a pilot investigation that used a computer-based total enterprise simulation as a research methodology for studying management decision making with students in an MBA program. Discussion of performance criteria highlights return on investment (ROI) as the best measure of group performance, and future research needs are suggested. (eight…
Descriptors: Business Administration Education, Computer Assisted Instruction, Computer Simulation, Decision Making
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Williams-Green, Joyce; Holmes, Glen; Sherman, Thomas A. – Journal of Educational Technology Systems, 1998
Culture represents the complex of social, emotional, intellectual, physical, and personal factors that individuals use to create meaning. When these are missing from instructional materials, achievement may be imperiled. Examples of how cultural variables can be incorporated into instructional decisions are presented to illustrate the potential…
Descriptors: Computer Assisted Instruction, Computer Software Development, Cultural Influences, Decision Making
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