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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Peer reviewedCadolino, C.; Guazzo, M. – Information Processing and Management, 1982
Considers problem of optimal scheduling of Boolean expression (each Boolean variable represents binary outcome of program module) on single-processor system. Optimization discussed consists of finding operand arrangement that minimizes average execution costs representing consumption of resources (elapsed time, main memory, number of…
Descriptors: Algorithms, Computer Programs, Cost Effectiveness, Information Retrieval
Peer reviewedReinke, William A. – Canadian Journal of Program Evaluation/La Revue canadienne d'evaluation de programme, 1999
Presents an algorithm for integrating evaluative concerns of cost effectiveness, equity, quality, and sustainability in program evaluation and offers suggestions for refining the system of measurement and analysis. (SLD)
Descriptors: Algorithms, Cost Effectiveness, Evaluation Methods, Measurement Techniques
Terrell, William R. – Journal of Instructional Development, 1983
Discusses the role of algorithmic processes as a supplementary method for producing cost-effective and efficient instructional materials. Examines three approaches to problem solving in the context of developing training materials for the Naval Training Command: application of algorithms, quasi-algorithms, and heuristics. (EAO)
Descriptors: Algorithms, Cost Effectiveness, Course Content, Delivery Systems
Peer reviewedLi, Heng; Tang, Sandy; Man, K. F.; Love, Peter E. D. – Internet Research, 2002
Describes an intelligent Web-based construction project management system called VHBuild.com which integrates project management, knowledge management, and artificial intelligence technologies. Highlights include an information flow model; time-cost optimization based on genetic algorithms; rule-based drawing interpretation; and a case-based…
Descriptors: Algorithms, Artificial Intelligence, Construction Management, Construction Programs

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