E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
Developing Adaptive Internet Based Courses with the Authoring System NetCoach
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Educational resources and implementation of a Greek sign language synthesis architecture
Computers & Education
Intelligent control of the hierarchical agglomerative clustering process
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Receiver-side semantic reasoning for digital TV personalization in the absence of return channels
Multimedia Tools and Applications
Multimedia Tools and Applications
Development of distributed mobile learning systems
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
Characteristics of M-learning applications designed for collaborative virtual organizations
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Adapting SCORM Compliant LOs in a Knowledge Engineering Scenario
International Journal of Distance Education Technologies
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Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge background. To overcome such difficulties, an e-learning schema is introduced that adapts to the learners' ICT (Information and Communication Technologies) knowledge level. The IEEE Reference Model (WG 1) defined by the Learning Technology Standards Committee (LTSA) is extended and used for this purpose. The proposed approach is based on the usage of electronic questionnaires (e-questionnaires) designed by a group of experts. Through the automatic analysis of the learners' responses to the questionnaires, all learners are assigned to different learner profiles. According to these profiles they are served with learning material that best matches their educational needs. We have implemented our approach in five European countries and the overall case study illustrates very promising results.