Picked this up via an internal summary shared at work (thanks to Jim Ellis of Open University in the UK):
Educause has released a new white paper, Analytics in Higher Education: Establishing a Common Language, which looks at the use of analytics in HE and, in particular, the multiple meanings and usage of similar terms as well as different terms with similar conceptual or functional definitions. The paper aims to present the different descriptions of the various types of analytics being discussed in the academic and practitioner literature.
Tony Bates refers to a recent paper by Academic Impressions’ Daniel Fuchs on identifying students at high risk of drop-out or failure. Vetting Early Alert Technologies includes advice from Jennifer Jones of Minnesota State University about what to look for when introducing a software solution. There is also a link to a second paper, Identifying At-Risk Students: What Data Are You Looking At? which considers effective use of the data once you have your system in place.
Blackboard is expanding field trials of a new learning analytics solution for Blackboard Learn. This builds on a Blackboard Analytics tool that was launched last year and is already in use with over 150 HE institutions.