mcmorgan + learninganalytics   2

Top Ed-Tech Trends of 2012: Education Data and Learning Analytics
Watters essays the politics of data collection and use inside and out of the cms."The promise of this data they argue is that through mining and modeling, we can enhance student learning and predict student success." Addresses "what is data" along the way. "However, not everything that can be counted counts, and not everything that counts can be counted.” – William Bruce Cameron (1963) Or this from one of Watters's earlier considerations: "the easily quantifiable but in the end meaningless. There are a lot of obvious numbers in our day-to-day lives – what we read, where we click, what we like, how much time we spend studying, who we talk to and ask for help. It’s the administrivia of education. And frankly that seems to be the focus of a lot of “what counts” in learning analytics. But does this really help us uncover, let alone diagnose or augment learning? What needs to happen to spur collection and reflection over our data so we can do a better job of this – not for the sake of the institution, but for the sake of the individual?"
d2l  learningenvironments  learningoutcomes  learninganalytics 
april 2014 by mcmorgan
A Domain of One's Own | University of Mary Washington
U Mary Washington gets it right: "freshmen with their own domain names and Web space. Students will have the freedom to create subdomains, install any LAMP-compatible software, setup databases and email addresses, and carve out their own space on the web that they own and control"
ple  fyc  d2l  bigdata  identity  privacy  learninganalytics 
august 2013 by mcmorgan

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