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

By G. Weber, Peter Brusilovsky. 2001

657 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2b9d73328e8732560f95bdde9af76848927eacc9

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Citations in the corpus

Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework (2007, background): “…a simple form such as: a skill meter that is a part-shaded bar showing learner progress as a subset of expert knowledge (Papanikolaou et al., 2003; Weber & Brusilovsky, 2001); or the probability that a learner knows a concept (Corbett & Anderson, 1995; Corbett & Bhatnagar, 1997); or a user's…”
Applying Data Mining Techniques to e-Learning Problems (2007, methodology): “Not all Data Mining in e-learning concerns advanced AI or ML methods: traditional statistics are also used in [1, 32, 74, 77], as well as Semantic Web technologies [34], ontologies [46], Case-Based Reasoning [33] and/or theoretical modern didactical approaches [6, 7, 41, 96].”
Adaptive and Intelligent Web-based Educational Systems (2003, unknown): “Among the systems featured in the special issue ELM-ART (Weber, et al., 2001) and KBS-Hyperbook (Henze, et al., 2001) provide two good examples of curriculum sequencing.”
A survey of literature on the teaching of introductory programming (2007, methodology): “Some tools in this category are worth noting, such astheLISPTutor[6] andELM-ART[99] dedicated to introductory LISP programming.”
KnowledgeTree: a distributed architecture for adaptive e-learning (2004, methodology): “For example, ELMART [43] comprehensively supports the most important portions of a typical Lisp course - from concept presentation to program debugging.”
Adaptive Learning Environments and e-Learning Standards. (2004, background): “The most widely known ALEs today (e.g., NetCoach ( Weber, and Brusilovsky, 2001 ), AHA! (De Bra et al., 2002b), InterBook (Brusilovsky et al.,1998), etc.) use adaptation models that generically specify system behaviour on the basis of properties of the content model (such as relationships between co”
Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment (2005, background): “technologies are increasingly reported in the literature [12, 13, 14].”
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE (2003, methodology): “Another approach is providing learners access to their model in order to define their own characteristics, such as in ELM-ART (Weber and Brusilovsky, 2001) where the learner can see and update”
A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors (2009, unknown): “…from that in other ITSs that use examples, including systems that use case-based reasoning techniques for purposes of student modeling (e.g., Weber & Brusilovsky, 2001), or systems that present examples to students (e.g., Conati & VanLehn, 2000; McLaren, Lim & Koedinger, 2008a; 2008b;…”