Authors:
Awa Diattara
1
;
Nathalie Guin
2
;
Vanda Luengo
3
and
Amélie Cordier
2
Affiliations:
1
Université de Lyon and Univ. Grenoble Alpes, France
;
2
Université de Lyon, France
;
3
Sorbonne Université, France
Keyword(s):
Authoring Tool, Knowledge Acquisition, Problem Solving Methods, Intelligent Tutoring Systems.
Related
Ontology
Subjects/Areas/Topics:
Authoring Tools and Content Development
;
Computer-Supported Education
;
e-Learning
;
Information Technologies Supporting Learning
Abstract:
Knowledge acquisition is a crucial problem for the design of Intelligent Tutoring Systems (ITSs). To
overcome this problem, authoring tools have been proposed. Over two dozen of authoring tools have been
built since the earliest days of ITS, but each of them focuses on a particular kind of ITSs such as constraint-based
tutors or model-tracing tutors. In the context of the AMBRE project, we are interested in ITSs teaching
problem-solving methods. Such ITSs enable learners to acquire a specific method in problem-solving. Despite
of the variety of existing authoring tools, these tools do not meet our needs either because approach adopted
do not match to AMBRE principle or because they do not allow to represent all knowledge needed to design
an AMBRE ITS. We propose AMBRE-KB, an authoring tool to help authors to elicit knowledge needed for
the design of AMBRE ITSs. This tool supports the acquisition of knowledge to be taught, and the description
of problems to be solved. We pres
ent the authoring process and illustrate it using French verb conjugation
domain. A preliminary evaluation shows that AMBRE-KB is successful in producing domains models but
more thorough evaluation is planned.
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