LADS 2014 - 1st Learning Analytics Data Sharing Workshop 2014

Many applications of learning analytics require large scale data. Although the data from an institutional learning platform or a MOOC course may be considered large, the scale and coverage of it is insufficient to allow the potential of learning analytics to be realised. The practical feasibility of data sharing for learning analytics is, however, a great deal more complex than the selection of a good technical architecture for data sharing and it is imperative that initiatives intended to work towards a data sharing platform ? comprising technical, operational, business, policy, and governance ? have a better basis on evidence than has so far been established and related to the problem at hand.