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Autor/inAl-Aubidy, Kasim M.
TitelApplying Fuzzy Logic for Learner Modeling and Decision Support in Online Learning Systems
QuelleIn: Journal of Educational Technology, 2 (2005) 3, S.76-85 (10 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0973-0559
SchlagwörterDecision Support Systems; Technology Uses in Education; Online Courses; Learning Modules; Knowledge Representation; Decision Making; Web Based Instruction; Electronic Learning; Internet; Simulated Environment; Computer Simulation; Instructional Design; Instructional Materials; Models; Evaluation Methods; Undergraduate Students; Knowledge Level; Problem Solving; Theories
AbstractAdvances in computers and multimedia technology have changed traditional methods for learning and skills training. Online learning continues to play a major success of any academic program. Such learning can personalize learning needs for students, it can provide an environment where virtual reality techniques are used to create interactive interfaces and real-time software can monitor every response made by the user. This paper presents an attempt to introduce the concepts of fuzzy set theory in the design of an online educational module. Such a module can deal with uncertainties in the knowledge acquisition, representation and decision making. The fuzzy logic principles are used in creating the learner model and to provide the appropriate teaching material to each learner according to his/her learning level. (As Provided).
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Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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