Architecture for an Adaptive and Intelligent Tutoring System that Considers the Learner's Multiple Intelligences

The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allow...

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Bibliographic Details
Published in:International journal of distance education technologies 2015-01, Vol.13 (1), p.1-21
Main Authors: Hafidi, Mohamed, Bensebaa, Taher
Format: Article
Language:English
Subjects:
Adaptive systems
Algeria
Architecture
College Students
Colleges & universities
Computer Interfaces
Curricula
Curriculum Design
Distance education
Distance learning
Educational Experiments
Electronic Learning
Foreign Countries
Hypermedia
Hypertext
Intelligence
Intelligent Tutoring Systems
Interactive
Interdisciplinary Approach
Learning Modules
Learning style
Mathematical models
Multiple Intelligences
Pretests Posttests
Problem Solving
Sequences
Sequencing
Sequential Approach
Sequential Learning
Statistical Analysis
Students
Surveys
Tutoring
Undergraduate Students
Universities
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Summary:The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty and to offer her/him some support. This paper's objective was to develop an (AITS), adapted for letting the learners work in several disciplinary fields of the University of the Annaba. In this context, its constraint is threefold: to represent knowledge relative to several disciplinary domains, to propose interactive activities to the learners based on multiple intelligences, and finally, to be able to support student guidance in her/his course by proposing her/him relevant support activities when she/he meets difficulties. The proposed system covers all important properties such as hypertext component, adaptive sequencing, problem-solving support, intelligent solution analysis and adaptive presentation while available systems have only some of them.
ISSN:1539-3100
1539-3119
DOI:10.4018/ijdet.2015010101