Learning Analytics Libraries MOOC 
Bryan Alexander
NOVEMBER 23, 2015
” Here DeMillo changes tack from neuroscience (chapter 3) and returns to technology, but not very much to MOOCs. The focus now is technology for personalized learning, including data analytics. “learning analytics will certainly be in widespread use by the time [this book] is published” (1796).
Bryan Alexander
DECEMBER 29, 2015
Skepticism about the quality of online learning could migrate to the general population. And the MOOC numbers look like they’re rising. Unless the worm turns globally, I’d expect planet MOOC to keep growing in 2016. Big data and data analytics : interest in this is widespread and has some hefty power behind it.
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Hack Education
DECEMBER 9, 2017
” And I wondered at the time if that would be the outcome for MOOCs. 2012, you will recall, was “ the year of the MOOC.”) Computing platforms have different abstraction levels, including a computer architecture, an OS, or runtime libraries. A computing platform is the stage on which computer programs can run.
Hack Education
MARCH 23, 2018
For example, this story from the School Library Journal : “ Charter Schools , Segregation , and School Library Access.” Online Education (and the Once and Future “MOOC”). ” “ No, YouTube is not a library – and why it matters” by Sarah T. “Many are never the same.”
eSchool News
JANUARY 1, 2017
They can be something everybody uses; that’s how 2012 became the year of the MOOC, and why virtual reality will no doubt be widely cited as the trend of 2016. MOOCs continued to increase in number and attendance. By Stephen Downes, National Research Council. Now there are different ways things can be a ‘trend of the year’.
Hack Education
NOVEMBER 29, 2017
Beyond the MOOC. School and “Skills” MOOCS, Outsourcing, and Online Education. MOOCs and Anti-MOOCs. Learning to Code. Education Data and Learning Analytics. The Digital Library. The Collapse of For-Profit Higher Education (Or Not). The Compulsion for Data. Indie Ed-Tech.
Hack Education
NOVEMBER 29, 2016
Beyond the MOOC. School and “Skills” MOOCS, Outsourcing, and Online Education. MOOCs and Anti-MOOCs. Learning to Code. Education Data and Learning Analytics. The Digital Library. The Collapse of For-Profit Higher Education (Or Not). The Compulsion for Data. Indie Ed-Tech.
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