Educational recommender systems and their application in lifelong learning

被引：39

作者：

Dascalu, Maria-Iuliana ^{[1
]}

Bodea, Constanta-Nicoleta ^{[2
]}

Mihailescu, Monica Nastasia ^{[1
]}

Tanase, Elena Alice ^{[1
]}

Ordonez de Pablos, Patricia ^{[3
]}

机构：

[1] Univ Politehn Bucuresti, Dept Engn Foreign Languages, Bucharest, Romania

[2] Bucharest Univ Econ Studies, Dept Econ Informat & Cybernet, Bucharest, Romania

[3] Univ Oviedo, Dept Business Adm & Accountabil, Oviedo, Spain

来源：

BEHAVIOUR & INFORMATION TECHNOLOGY | 2016年 / 35卷 / 04期

关键词：

Recommender systems; learning models; information retrieval; semantic web; collaborative learning; COMMUNITIES; MODEL;

D O I：

10.1080/0144929X.2015.1128977

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：290 / 297

页数：8

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