Computer scientists and electrical engineers introduce artificial intelligence-based distance education to overcome some of the problems that arise from the complexity of distance education. The topics include a proposed model for global knowledge networking utilizing digital libraries, designing a multi-agent system for improving the accounting of electronic learning, a web-based intelligent educational laboratory system for forecasting chaotic time series, resolving the paradox of overconfident students with intelligent methods, an agent-based distributed intelligent tutoring system using case-based reasoning, and an evolutionary approach to the automatic and dynamic modeling of students' learning styles.
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