OWLearn: An open source e-learning platform supporting adaptivity and personalization
| Autor: | Eleftherios D. Polychronopoulos, Aglaia Liopa, Athanasios K. Tsakalidis, Soultana Kampana, Dimitrios Tsolis, Paraskevi Christia |
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| Rok vydání: | 2012 |
| Předmět: |
Matching (statistics)
Multimedia Computer science E-learning (theory) Lifelong learning Collaborative learning computer.software_genre Personalization Human-Computer Interaction Artificial Intelligence Profiling (information science) Computer Vision and Pattern Recognition Adaptation (computer science) computer Implementation Software |
| Zdroj: | Intelligent Decision Technologies. 6:97-104 |
| ISSN: | 1875-8843 1872-4981 |
| DOI: | 10.3233/idt-2012-0126 |
| Popis: | This paper, based on an analysis of current research and relevant implementations proposes the implementation of OWLearn an adaptive and personalized e-Learning system developed with open source technologies. Adaptation and personalization received very little coverage in the most commonly used e-learning platforms. An e-learning course in these systems is usually designed without matching students' and teachers' needs and objectives as closely as possible, and without adapting during course progression. The proposed open source e-learning system offers profiling and personalization services for the teacher and student while at the same time adapts the educational content and tools in the basis of the acquired user's profile. Finally, the proposed system offers collaborative learning using social networking services and mobile learning tools for achieving ubiquitous life long learning. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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