A conceptual map model for developing intelligent tutoring systems
Computers & Education
Personalized e-learning system using Item Response Theory
Computers & Education
Expert Systems with Applications: An International Journal
Adaptive and intelligent web based education system: Towards an integral architecture and framework
Expert Systems with Applications: An International Journal
Intelligent web-based learning system with personalized learning path guidance
Computers & Education
Automatically constructing concept maps based on fuzzy rules for adapting learning systems
Expert Systems with Applications: An International Journal
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Expert Systems with Applications: An International Journal
Design expert system tool with hybrid knowledge representation and reasoning
International Journal of Computer Applications in Technology
PC2PSO: personalized e-course composition based on Particle Swarm Optimization
Applied Intelligence
SAHAM: Shared Adaptive Hypermedia Application Model
International Journal of Computer Applications in Technology
Exploring the communication behaviour among global software development learners
International Journal of Computer Applications in Technology
Expert Systems with Applications: An International Journal
Personal classification space-based collaborative filtering algorithms
International Journal of Computer Applications in Technology
Information Processing and Management: an International Journal
Adding memory condition to learning classifier systems to solve partially observable environments
International Journal of Computer Applications in Technology
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Learners usually meet cognitive overload and disorientation problems when using e-learning systems. At present, most of the studies on e-learning either concentrate on technological aspects or focus on adapting learners' interests or browsing behaviours, while, learners' skill level and learners' multiple intelligences are usually neglected. In this paper, an adaptive and intelligent tutoring system AITS by expert system based not only on the difficulty level of activities, but also the changing learning performance of the individual learner during the learning process is proposed. Therefore, considering learners' skill level and learners' multiple intelligences can promote personalised learning performance. Learners' skill level is obtained from pre-test result analysis, while learners' multiple intelligences are obtained from questionnaire analysis. After computing learning success rate, the system then modifies the difficulty level or the presentation of corresponding activity to update courseware material sequencing.