A Web-based System Design for Enhancing Learning Problem Solving in Artificial Intelligence
نویسنده
چکیده
The purpose of this paper is to present the design of a web-based system to enhance learning problem solving in artificial intelligence. The system design contains learner model, pedagogical model, domain knowledge model, communication model, expert model, and knowledge management model. The design is based on Robert Gagné’s concepts of instructional theory and Intelligent Tutoring System (ITS) model based on rule based approach. The designed system can adapt learning and tests according to each learner’s skill. Keywords—Adaptive learning, Adaptive testing, Problem solving, Web-based System Design
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