TY  - CHAP
TI  - Applying Recommender Systems for Learning Analytics Data: A Tutorial
AU  - Fazeli, Soude
AU  - Drachsler, Hendrik
AU  - Sloep, Peter
T2  - The Handbook of Learning Analytics
A2  - Lang, Charles
A2  - Siemens, George
A2  - Wise, Alyssa Friend
A2  - Gaševic, Dragan
AB  - This chapter provides an example of how a recommender system experiment can be conducted in the domain of learning analytics (LA). The example study presented in this chapter followed a standard methodology for evaluating recommender systems in learning. The example is set in the context of the FP7 Open Discovery Space (ODS) project that aims to provide educational stakeholders in Europe with a social learning platform in a social network similar to Facebook, but unlike Facebook, exclusively for learning and knowledge sharing. In this chapter, we describe a full recommender system data study in a stepwise process. Furthermore, we outline shortcomings for data-driven studies in the domain of learning and emphasize the high need for an open learning analytics platform as suggested by the SoLAR society.
CY  - Alberta, Canada
DA  - 2017///
PY  - 2017
ET  - 1
SP  - 234
EP  - 240
PB  - Society for Learning Analytics Research (SoLAR)
SN  - 978-0-9952408-0-3
UR  - http://solaresearch.org/hla-17/hla17-chapter1
ER  -