EDU-EX: A Tool for Auto-Regulated IntelligentTutoring Systems Development Based on Models View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-09

AUTHORS

P. Domingo, A. García-Crespo, B. Ruiz, A. Iglesias

ABSTRACT

In recent years there has been an upsurge informs of instruction that envisage a permanentand ongoing involvement in education of novelconcepts such as planned and personalisedinstruction and autonomous learning. A largenumber of problems that arise in educationtoday may be solved by introducing newtechnologies into the educational environment,as they allow the form and content of tutoringsystems to be tailored to each individual. Theapplication of Artificial Intelligencetechniques is helping open up new prospects inthe field of teaching and learning. UsingArtificial Intelligence techniques in educationhas the advantage of making it possible torepresent expert reasoning and knowledgeskills, and to take advantage of thisexperience in education. This study has involved the development of atool to generate auto-regulated intelligenttutoring systems based on models. This form ofrepresentation makes it possible to break down,organise and represent information so as toenable the easy creation of functionalintelligent computerised tutoring systems.Information about the subject in question,about inference mechanisms, and of apedagogical nature (independent of any onestrategy) is all separated. The tool alsoenables knowledge acquired by a student to beconstantly monitored with a view toauto-regulating the course contents. More... »

PAGES

15-32

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1016388100322

DOI

http://dx.doi.org/10.1023/a:1016388100322

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030895100


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