Educational recommender systems and their application in lifelong learning

ABSTRACT 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.

[1]  A. Ant Ozok,et al.  Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: results from a college student population , 2010, Behav. Inf. Technol..

[2]  Bracha Shapira,et al.  Recommender Systems Handbook , 2015, Springer US.

[3]  Ria Hanewald,et al.  Sustainability in an Online Community of Practice: the Case Study of a Group of Secondary School Educators in Victoria , 2009 .

[4]  Ahmet Çakir.  Virtual communities - a virtual session on virtual conferences , 2002, Behav. Inf. Technol..

[5]  Maria-Iuliana Dascalu,et al.  Mixed reality to support new learning paradigms , 2014, 2014 18th International Conference on System Theory, Control and Computing (ICSTCC).

[6]  Rob Nadolski,et al.  Effects of the ISIS Recommender System for Navigation Support in self-organised Learning Networks , 2009, J. Educ. Technol. Soc..

[7]  C. Bodea,et al.  How e-Learning Experience Enhances the Social Presence in Community of Practice: An Empirical Analysis , 2012 .

[8]  Francisco J. García-Peñalvo,et al.  Using OWL-VisMod through a decision-making process for reusing OWL ontologies , 2014, Behav. Inf. Technol..

[9]  Wu-Yuin Hwang,et al.  A Markov-based Recommendation Model for Exploring the Transfer of Learning on the Web , 2009, J. Educ. Technol. Soc..

[10]  Taghi M. Khoshgoftaar,et al.  A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..

[11]  Umberto Straccia,et al.  User recommendation for collaborative and personalised digital archives , 2005, Int. J. Web Based Communities.

[12]  Maria-Iuliana Dascalu,et al.  Clustering of the Web Search Results in Educational Recommender Systems , 2012 .

[13]  George Dragoi,et al.  Knowledge Applications Development at the SMEs Level in a Virtual Business Environment , 2013 .

[14]  J. Bobadilla,et al.  Recommender systems survey , 2013, Knowl. Based Syst..

[15]  Yuh-Jen Chen.  Ontology-based empirical knowledge verification for professional virtual community , 2011, Behav. Inf. Technol..

[16]  Din J. Wasem,et al.  Mining of Massive Datasets , 2014 .

[17]  Eduardo Salas,et al.  What influences continuous employee development decisions , 2005 .

[18]  Lior Rokach,et al.  Recommender Systems Handbook , 2010 .

[19]  DascaluMaria-Iuliana,et al.  A recommender agent based on learning styles for better virtual collaborative learning experiences , 2015 .

[20]  Murat Göksedef,et al.  Combination of Web page recommender systems , 2010, Expert Syst. Appl..

[21]  Miltiadis D. Lytras,et al.  Improving e-learning communities through optimal composition of multidisciplinary learning groups , 2014, Comput. Hum. Behav..

[22]  Anthony F. Norcio,et al.  Representation, similarity measures and aggregation methods using fuzzy sets for content-based recommender systems , 2009, Fuzzy Sets Syst..

[23]  Sheizaf Rafaeli,et al.  QSIA - a Web-based environment for learning, assessing and knowledge sharing in communities , 2004, Comput. Educ..

[24]  Mei-Hua Hsu,et al.  A personalized English learning recommender system for ESL students , 2008, Expert Syst. Appl..

[25]  Miltiadis D. Lytras,et al.  A recommender agent based on learning styles for better virtual collaborative learning experiences , 2015, Comput. Hum. Behav..

[26]  I-Ching Hsu,et al.  SXRS: An XLink-based Recommender System using Semantic Web technologies , 2009, Expert Syst. Appl..

[27]  Hui-Ling Chang,et al.  Using ontology network analysis for research document recommendation , 2008, Expert Syst. Appl..

[28]  Li Chen,et al.  Experiments on user experiences with recommender interfaces , 2014, Behav. Inf. Technol..

[29]  Ahmet Çakir.  Living and working on the Web , 2015, Behav. Inf. Technol..