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Peer reviewedSwaminathan, H.; And Others – Journal of Educational Measurement, 1975
A decision-theoretic procedure is outlined which provides a framework within which Bayesian statistical methods can be employed with criterion-referenced tests to improve the quality of decision making in objectives based instructional programs. (Author/DEP)
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Criterion Referenced Tests, Decision Making
Tatsuoka, Kikumi – 1978
This study examined the appropriateness of the use of criterion referenced tests as a means of controlling an individual student's advancement to the next level of instruction or retention in the current unit in the PLATO Air Force Base Computer-Based Education project at Chanute. The study was also concerned with program evaluation, which…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Criterion Referenced Tests, Evaluation Methods
Park, Ok-choon; Tennyson, Robert D. – Contemporary Education Review, 1983
The theoretical rationales and procedures of five adaptive computer-based instruction models were reviewed: the mathematical model, the regression model, the Bayesian probabilistic model, the testing and branching model, and artificially intelligent instructional systems. Each model is assessed for contrast of methods and forms, identifiable…
Descriptors: Artificial Intelligence, Bayesian Statistics, Branching, Computer Assisted Instruction
Peer reviewedPark, Ok-Choon; Tennyson, Robert D. – Journal of Educational Psychology, 1980
Computer-based adaptive instructional strategies for concept learning were investigated. Selection of the number of examples according to on-task information was more efficient than pretask or pretask plus on-task information. A response-sensitive strategy was preferable to a response-insensitive strategy to determine the presentation order of…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Concept Formation, High Schools


