期刊
BEHAVIOUR & INFORMATION TECHNOLOGY
卷 35, 期 4, 页码 290-297出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0144929X.2015.1128977
关键词
Recommender systems; learning models; information retrieval; semantic web; collaborative learning
资金
- Sectoral Operational Programme Human Resources Development of the Ministry of European Funds [POSDRU/159/1.5/S/132397]
The almost unlimited access to educational information plethora came with a drawback: finding meaningful material is not a straightforward task anymore. Recommender algorithms can be used to make smart decisions in complex information systems and help the users decide upon useful materials; therefore, they become a promising area in academia and industry. The current paper presents a survey on educational recommender systems (RS): a set of analysis criteria are exposed and the technological specifications and challenges of each analysed system are provided, in the context of the main trends in the development of RS. Also, an ontology-based educational recommendation mechanism is proposed and its application to lifelong learning is highlighted, proving that RS can successfully support new learning paradigms.
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