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REPORT: Expanding Evidence Approaches for Learning in a Digital World

The report discusses the promise of sophisticated digital learning systems for collecting and analyzing very large amounts of fine-grained data (“big data”) as users interact with the systems. It proposes that this data can be used by developers and researchers to improve these learning systems and strive to discover more

REPORT: Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics

Big data is everywhere—even in education. Researchers and developers of online learning, intelligent tutoring systems, virtual labs, simulations, and learning management systems are exploring ways to better understand and use learning analytics to improve teaching and learning. http://www.ed.gov/edblogs/technology/files/2012/03/edm-la-brief.pdf

Learning analytics for better learning content | Ed Tech Now

We thought you needed: large quantities of data (volume); varied sources of data (variety); semantically meaningful data (which is a similar to validity), the latter being  about accuracy and the former being about having a meaningful standard in the first place, against which that accuracy can be measured. This is a complex topic

RESOURCE: MOOCs and other ed-tech bubbles | Ed Tech Now

"analytics is predicated on “big data” but in education, big data will not exist until we sort out the current failure of interoperability" By spotting patterns in the data produced by students’ online learning activity, learning analytics systems should be able to help: predict student progress; inform adaptive learning strategies (sequencing digital learning activities