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Arizona State University is using data mining to collect information on their students and help guide them to the "most appropriate major". also, in class, using data collection methods, teachers collect information to be used in assessment Ex: "Ms. Galayda can monitor their progress. In her cubicle on a recent Monday, she sees the intimacies of students' study routines - or lack of them - from the last activity they worked on to how many tries they made at each end-of-lesson quiz. For one crammer, the system registers 57 attempts on multiple quizzes in seven days. Pulling back to the big picture, a chart shows 15 students falling behind (in red) and 17 on schedule (in green)."

wow this is kind of bothersome on some levels and kinda amazing on other levels. While I can see the benefit of understanding where and how a student is more likely to succeed, I think there are some potential dangers with such a system. There is the what I would imagine the psychological effect of such a program and I am thinking particularly about STEM fields where women are already way under-represented and often self conscious about their performance, do you really also need a system telling you you shouldn't be majoring in that as well cause you're not performing at that point....or what about a student who really wants to be an engineer but maybe hasn't been fully prepared with the appropriate math courses in high school, would he or she be filtered into another major? I understand using such a system as a means to target help for example if a student could get an assessment of where they currently are, where they want to go and how to get there....

"So-called "big data" make it possible to mine learning information for insights regarding student performance and learning approaches. Rather than rely on periodic test performance, instructors can analyze what students know and what techniques are most effective for each pupil. By focusing on data analytics, teachers can study learning in far more nuanced ways."

Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the public. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Kaggle is in Class is a statistical & data mining learning tool for students.

Data-mining in twitter

How are learning analytics being used In education? Data-mining and measurement for educational purposes.

Also on learning analytics and data http://www.emergingedtech.com/2012/04/exploring-the-khan-academys-use-of-learning-data-and-learning-analytics/ Through the lens of Khan Academy.

These are important ideas - hope they archive the presentation, as it is opposite our section.

I followed this article to another really interesting article on th same site http://www.brookings.edu/research/papers/2012/09/04-education-technology-west with a prediction of the use of data mining and web dashboards through the lens of big data. I think we are very close to being able to implement these ideas in the near future. Great article thanks for sharing!

Heather, thanks for the additional information. Brookings is doing some good work in this area...

Very interesting article for those of us who want investigate about Course Management Systems. Sometimes institutions don't just care about learning outcomes but also the entrepreneurial aspects of data analysis.