
http://ocw.mit.edu/index.htm
The list of courses is here
http://ocw.mit.edu/courses/index.htm
Something every one should know and use.
http://ocw.mit.edu/index.htm
The list of courses is here
http://ocw.mit.edu/courses/index.htm
Something every one should know and use.
Be open to critiquing & iterating your dashboards—making them more impactful. Read how: http://tabsoft.co/1pBRfrb
Here are some general resources that you may find useful for a further study. This list is by no means complete. We welcome additional suggestions through the appropriate discussion thread.
Some other on-line classes and tutorials in this arena:
General e-Science / Data Science resources:
Books on Data Mining and Machine Learning:
Web Services and standalone applications:
Programming Languages and DM Libraries:
Last week, I attended the UTA LINK Lab talk presented by Dragan Gasevic (@dgasevic) on learning analytics and research. This discussion shared all the digital traces and learning that can be collected and measured in our various learning environments, and questions how we are best doing some of these analytics within our institutions. Although we have a number of statistics, data, and information on our learners – how can we offer actionable insight, summative feedback, and information about learner progress. Our post-secondary institutions seem to want to only deal with the “R” word = Retention. Often institutions are looking to identify students at risk, provide information about learning success, and understand how to enhance learning – but how can we effectively use data when often times our metrics only focus on single outcomes?
Photo c/o the #dalmooc edX Course Site
Instead, it is the process and context that our education institutions need…
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