  With the development of recommender systems (RS), several promising systems
have emerged, such as context-aware RS, multi-criteria RS, and group RS.
However, the education domain may not benefit from these developments due to
missing information, such as contexts and multiple criteria, in educational
data sets. In this paper, we announce and release an open data set for
educational recommender systems. This data set includes not only traditional
rating entries, but also enriched information, e.g., contexts, user preferences
in multiple criteria, group compositions and preferences, etc. It provides a
testbed and enables more opportunities to develop and examine various
educational recommender systems.
