Class-based n-gram models of natural language
Computational Linguistics
KnowledgeTree: a distributed architecture for adaptive e-learning
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
An Architectural Approach for Supporting Accessible Hypermedia in Web-Based Learning Systems
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Adaptive and intelligent web based education system: Towards an integral architecture and framework
Expert Systems with Applications: An International Journal
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Knowledge-Based Systems
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A rough set approach to feature selection based on power set tree
Knowledge-Based Systems
Evolutionary computation approaches to the Curriculum Sequencing problem
Natural Computing: an international journal
Design of educational multimedia interfaces: individual differences of learners
Proceedings of the Second Kuwait Conference on e-Services and e-Systems
Artificial Intelligence Review
Feature selection using dynamic weights for classification
Knowledge-Based Systems
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The need for providing learners with web-based learning content that match their accessibility needs and preferences, as well as providing ways to match learning content to user's devices has been identified as an important issue in accessible educational environment. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. In order to achieve optimal efficiency in a learning process, individual learner's cognitive learning style should be taken into account. Due to different types of learners using these systems, it is necessary to provide them with an individualized learning support system. However, the design and development of web-based learning environments for people with special abilities has been addressed so far by the development of hypermedia and multimedia based on educational content. In this paper a framework of individual web-based learning system is presented by focusing on learner's cognitive learning process, learning pattern and activities, as well as the technology support needed. Based on the learner-centered mode and cognitive learning theory, we demonstrate an online course design and development that supports the students with the learning flexibility and the adaptability. The proposed framework utilizes data mining algorithm for representing and extracting a dynamic learning process and learning pattern to support students' deep learning, efficient tutoring and collaboration in web-based learning environment. And experiments do prove that it is feasible to use the method to develop an individual web-based learning system, which is valuable for further study in more depth.