Analytics and data - trying to understand the conversation
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Analytics and data  - trying to understand the conversation
Bits and pieces to  research this growing area in training and education . Your students and your staff .
Curated by Jess Chalmers
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning
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The Challenge of Understanding MOOC Data -- Campus Technology

The Challenge of Understanding MOOC Data -- Campus Technology | Analytics and data  - trying to understand the conversation | Scoop.it
Four years after the launch of edX, the data generated by massive open online courses still mystifies many institutions. Could inter-university collaboration unlock the secrets to better course delivery?

Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning
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Analytics at Scale -- Campus Technology

Analytics at Scale -- Campus Technology | Analytics and data  - trying to understand the conversation | Scoop.it
MOOCs should be the Holy Grail of student data, but they aren't there yet.

 

One of the great promises of massive open online courses, besides making education more accessible for more students, is the treasure trove of student data collected on a grand scale.

 

Large amounts of data are exactly what higher education needs to stay relevant in this era of disruptive change, as Arizona State University's Adrian Sannier pointed out in his keynote at last year's Campus Technology annual conference. The only way to make sure colleges and universities are continually boosting student success, he said, is evidence-based pedagogy. And that requires scale: "You can't take evidence one class at a time, one person at a time — it takes too long, you don't get a broad enough sample…. I'm not sure you can do it at a university, at a single institution. You may not have enough scale, you may not have enough size."


Via Peter Mellow
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Pushing the MOOC envelope with Learning Analytics

How can Learning Analytics be used to bring about the true revolution traditionally assumed for MOOCs? With audiences in the thousands of users, the key is mass

Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning
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What 6.9 million clicks tell us about how to fix online education

What 6.9 million clicks tell us about how to fix online education | Analytics and data  - trying to understand the conversation | Scoop.it

In a paper published this spring, the CSAIL team outlined some key findings on what online learners want from videos. These include:


Brevity (viewers generally tune out after six minutes)


Informality, with professors seated at a desk, not standing behind a podium


Lively visuals rather than static PowerPoint slides


Fast talkers (professors seen as the most engaging spoke at 254 words per minute)


More pauses, so viewers can soak in complex diagrams


Web-friendly lessons (existing videos broken into shorter chunks are less effective than ones crafted for online audiences)


Via Peter Mellow
Stephen Bright's curator insight, July 29, 2014 6:06 PM

Analysis from MIT about the features of online videos used in MOOCs that online learners prefer. Interesting analysis for MOOCs but these features could be applied to videos used in any implementation of blended learning.

 

Also shows that the slick, production theatre videos with a highly professional look may not be the ones that students prefer to watch.

Nigel Robertson 's curator insight, July 31, 2014 8:04 AM
What we already knew and any academic should intrinsically understand this if they are in tune with the people they teach,
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning
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Daphne Koller: What we're learning from online education | Video on TED.com

TED Talks Daphne Koller is enticing top universities to put their most intriguing courses online for free -- not just as a service, but as a way to research how people learn.

 

Each keystroke, comprehension quiz, peer-to-peer forum discussion and self-graded assignment builds an unprecedented pool of data on how knowledge is processed and, most importantly, absorbed.


Via Kim Flintoff
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