ELM-ART: An Adaptive Versatile System for Web-based Instruction

Abstract : This paper discusses the problems of developing versatile adaptive and intelligent learning systems that can be used in the context of practical Web-based education. We argue that versatility is an important feature of successful Web-based education systems. We introduce ELM-ART, an intelligent interactive educational system to support learning programming in LISP. ELM-ART provides all learning material online in the form of an adaptive interactive textbook. Using a combination of an overlay model and an episodic student model, ELM-ART provides adaptive navigation support, course sequencing, individualized diagnosis of student solutions, and example-based problem-solving support. Results of an empirical study show different effects of these techniques on different types of users during the first lessons of the programming course. ELM-ART demonstrates how some interactive and adaptive educational components can be implemented in WWW context and how multiple components can be naturally integrated together in a single system. (http://aied.inf.ed.ac.uk/members01/archive/vol_12/weber/full.html)
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International Journal of Artificial Intelligence in Education (IJAIED), 2001, 12, pp.351-384
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Gerhard Weber, Peter Brusilovsky. ELM-ART: An Adaptive Versatile System for Web-based Instruction. International Journal of Artificial Intelligence in Education (IJAIED), 2001, 12, pp.351-384. 〈hal-00197328〉

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