- Insight into the variability of adaptive learning solutions, based on their Approach to adaptivity and selected Taxonomy and Maturity attributes introduced and defined- A framework for how an organization might use a set of contextual considerations and instructional objectives to determine a best-fit approach to adaptive learning- Detailed profiles of eight adaptive learning suppliers and a list of other organizations to watch
...a framework for thinking about adaptive learning in higher education
An algorithm that extends an artificial-intelligence technique to new tasks could aid in analysis of flight delays and social networks.
Here is a great and simple explanation of a new network algorithm. I believe that another form of amplification of results that I seem to have seen concerns the overfitting problem. If I select a solution from a range and just chase after the highest or best criteria (of any sort: correlation, max error, r-squared, mean error, or more complex criteria) then the predictor equation seems to be over confident.
Timothy A. McKay (Arthur F. Thurnau Professor of Physics and Director of the LSA Honors Program at the University of Michigan) lectures on "What We're ...
Skim through to minute 30 to see an interesting finding about grading patterns that favor females over males by discipline areas (and vice versa) and the grade penalty discovered via Learning Analytics at Michigan.
Maximum likelihood being applied to a spatial analysis problem. In a digital learning space where the paths of resource utilization form a metric space, can this method help locate the difference between a novice and an expert?
In 2011, Airbnb had a problem. The room-sharing site was growing fast, but so were customer complaints. People just couldn't figure out how to use the service. The issue was so severe, Airbnb was getting an average of one customer service call for every room booked.
This is why we'll always need teachers in the assessment loop...
Higher ed institutions around the globe are exploring the potential of adaptive technology to revolutionize the way students learn.
I disagree slightly in the sense that adaptation is (I think) the only way to personalize 'at scale.' so it is not just one of a set of methods to personalize, but the only realistic method to use when going to scale.
In a new U.N. report released on Monday morning (Japan time) scientists come to a stark conclusion: Unless the world changes course immediately and dramatically, the fundamental systems that support human civilization are at risk. The Intergovernmental Panel on Climate Change’s new report—which is seven years in the making—draws on...
Sorry to be a bit off topic, but this report is one in a long series of highly consistent messages that the world seems to be ignoring.
Check out this beautiful infographic which answers why would colleges want to have analytics, how can educational data mining and learning analytics improve and personalize education, and how does this process work.
An infrographic to share with an educational data science team
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