Data Learning Analytics OER 
Iterating Toward Openness
OCTOBER 9, 2018
Recently I’ve been doing both more thinking and more roll-up-your-sleeves working on continuous improvement of OER. And this process of making OER more effective every semester – also known as “continuous improvement” – is where we see some of the most exciting opportunities to collaborate with faculty.
Iterating Toward Openness
JULY 23, 2018
By definition, open educational resources (OER) are licensed in a manner that gives you permission to change, update, and improve them. Learning analytics, on the other hand, can provide great insight into where course materials – including OER – are not effectively supporting student learning.
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Edsurge
FEBRUARY 27, 2020
The primary trends identified by the team were: adaptive learning, open education resources (OER), gamification and game-based learning, MOOCs, LMS and interoperability, mobile devices, and design. a mixed methodological approach so that we're gathering qualitative data that tells the story about the quantitative findings.
Edsurge
DECEMBER 26, 2019
So with these guidelines in mind, I’ve chosen six areas where edtech has made an impact this decade: Learning Management Systems. OER and open books. Learning analytics. Adaptive learning systems. Two that shine are OER/open books and learning analytics. Digital badges. underwhelming.
Iterating Toward Openness
APRIL 14, 2017
And now for something completely different… I’m taking a pause from talking directly about open for a moment to share some resources I’ve recently found that have made my data life much more efficient and enjoyable. I spend a lot of my time working in the data generated by use of Lumen’s open courseware.
Iterating Toward Openness
AUGUST 10, 2016
Because I can’t stop thinking about open, I’ve been pondering the relationship between solar power and OER. ”, “How can you sell OER if they’re free? ”, “How can you sell OER if they’re free?”, ”, and “If OER are free, why would anyone pay you?”
Bryan Alexander
JUNE 24, 2015
Malcolm Brown begins with three major drivers: personalization, hybrid learning, and big data.
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