Semantic Web and ontologies for personalisation of learning in MOOCs

Autor:	Anatoly Gladun, Jeanne Schreurs, Katerina Khala, George Sammour, Abdallah Al-Zoubi
Rok vydání:	2015
Předmět:	Information retrieval Computer science Process (engineering) Web Ontology Language computer.file_format Ontology (information science) Recommender system Personalization Active learning ComputingMilieux_COMPUTERSANDEDUCATION Ontology RDF computer Semantic Web computer.programming_language
Zdroj:	2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS).
DOI:	10.1109/intelcis.2015.7397219
Popis:	A new approach for searching and selecting user-relevant MOOCs courses fitting the level of students' education and based on the semantic representation of the user's knowledge of the subject area is presented. This approach supports the search for relevant knowledge by the students during the active learning process of the course. The effectivity of the present ontology based technique is based on the fact that it is aimed on users with different levels of knowledge that can be represented as ontologies and thesauri.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5de7f6be2b50538378ee59b5f7d2d71b https://doi.org/10.1109/intelcis.2015.7397219 Zobrazit plný text záznamu