Multidimensional Learner Model In Intelligent Learning System
| Autor: | B. Deliyska, A. Rozeva, George Venkov, Ralitza Kovacheva, Vesela Pasheva |
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| Rok vydání: | 2009 |
| Předmět: |
Computer science
business.industry Relational database Online analytical processing Ontology (information science) Machine learning computer.software_genre Personalization Domain (software engineering) Data cube Human–computer interaction Server ComputingMilieux_COMPUTERSANDEDUCATION Artificial intelligence business Semantic Web computer |
| Zdroj: | AIP Conference Proceedings. |
| ISSN: | 0094-243X |
| Popis: | The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e‐learning in an online learner‐centered environment. ILS is a distributed e‐learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e‐learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner’s domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent’s modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultan... |
| Databáze: | OpenAIRE |
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