Work

A Meta-model to Acquire Relevant Knowledge for Interactive Learning Environments Personalization

Year: 2009

Type: conference-paper

Abstract: Outsourced personalization of interactive learning environments (ILE) requires knowledge on these ILEs: their teaching description (type of activities, parameters for exercises generation, etc.) and their technical description (files location, content of configuration files, etc.). To make possible to support this personalization, we propose a meta-model to acquire, in interaction with an expert, relevant knowledge necessary to personalize an ILE. We combine this meta-model with two processes: the first one uses the meta-model in order to create a specific model to an ILE, and the second uses this model to personalize the ILE.

Source: Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns

DOI: 10.1109/computationworld.2009.37

Authors: Marie Lefevre, Alain Mille, Stéphanie Jean-Daubias, Nathalie Guin

Institutions: Centre National de la Recherche Scientifique, Université de Lyon, Laboratoire d'Informatique en Images et Systèmes d'Information

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W2000612049

FWCI: 1.247

Cites: 12

Cited by: 6

Related to: 10