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Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Gitomer, Drew H.; And Others – 1994
This paper lays out the rationale and implementation of student modeling and updating in the HYDRIVE intelligent tutoring system (ITS) for aircraft hydraulic systems. An epistemic level of modeling concerns the plans and goals students are using to guide their problem solving, as inferred from specific actions in specific contexts. These results…
Descriptors: Comprehension, Computer Managed Instruction, Decision Making, Diagnostic Tests
Peer reviewed Peer reviewed
Hativa, Nira; Lesgold, Alan – Instructional Science, 1991
Discussion of the use of computers for systematic individualization of instruction focuses on a study of elementary school students using computer-managed drill and practice in arithmetic in four different systems. A model for decision making in computer-managed practice systems is presented, and the role of the teacher is discussed. (43…
Descriptors: Arithmetic, Computer Assisted Instruction, Computer Managed Instruction, Decision Making
Drummond, Marshall Edward – 1983
The design concept and initial development phases of academic information management (AIM) are discussed. The AIM concept is an attempt to serve three segments of academic management with data and models to support decision making. AIM is concerned with management and evaluation of instructional computing in areas other than direct computing (data…
Descriptors: College Administration, Computer Managed Instruction, Databases, 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