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ELM-ART: An Adaptive Versatile System for Web-Based Instruction (2001)
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| Venue: | Int’l J. Artificial Intelligence in Education |
| Citations: | 197 - 13 self |
BibTeX
@ARTICLE{Weber01elm-art:an,
author = {Gerhard Weber and Peter Brusilovsky},
title = {ELM-ART: An Adaptive Versatile System for Web-Based Instruction},
journal = {Int’l J. Artificial Intelligence in Education},
year = {2001},
pages = {351--384}
}
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Abstract
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.
Keyphrases
adaptive versatile system web-based instruction successful web-based education system adaptive educational component intelligent interactive educational system first lesson different effect adaptive interactive textbook example-based problem-solving support versatile adaptive overlay model empirical study course sequencing www context student solution multiple component practical web-based education adaptive navigation support individualized diagnosis important feature different type programming course episodic student model material online single system
