Learning analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on learning. (Siemens, 2010) An analytics system includes the information repository itself, as well as a means for data optimization, predictive modeling, forecasting, and statistical analysis.
According to Ferguson (2012), there are 3 factors driving the development of learning analytics in higher education. They are:
1) Big Data
2) Online Learning
3) Political Concerns
When implemeting learning analytics, the following should be considered:
- Methods for visualizing data that are easy to use and understand
- Personalized dashboards
- Standards for the structure of data
- Ethics, privacy, and ownership of data
Data warehouses and the cloud make it possible to collect, manage, and maintain massive amounts of information, and technology platforms can now help us turn a mass of numbers into meaningful patterns. "Data mining uses descriptive and inferential statistics (e.g., moving averages, correlations, and regressions) and complex functions (e.g., graph analysis, market basket analysis, and tokenization) to look inside those patterns for actionable information. Predictive techniques (e.g., neural networks and decision trees) help anticipate behavior and events."(Wagner & Ice, 2012)
Learning Analytics is here to stay. Information gleaned from transactions and interactions in our online lives that can then be summarized in reports in order to provide us with intelligence for making decisions in a shift toward more desirable behavior is extremely valuable!
Resources:
Ferguson, R. (2012). The State Of Learning Analytics in 2012: A Review and Future Challenges. Technical Report KMI-12-01, Knowledge Media Institute, The Open University, UK. http://kmi.open.ac.uk/publications/techreport/kmi-12-01
Siemens, G. (2010). What are learning analytics?. Retrieved from: http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/
Wagner, E., & Ice, P. (2012). Data changes everything: delivering on the promise of learning analytics in higher education. EDUCAUSE Review, July/August. Retrieved from http://www.educause.edu/ero/article/data-changes-everything-delivering-promise-learning-analytics-higher-education.
