Wednesday, October 29, 2014

In the current higher education landscape there is at least one significant development generating enthusiasm and suspicion in equal parts. Learning analytics refers to technologies, usually software tools, that enable the analysis of student data in order to identify learning weaknesses so that faculty, advisers and even librarians could intervene with corrective action. It has its origins in business and industry where statistical analysis of big data is used to analyze market trends and consumer spending in order to predict purchasing behaviors. While this technology has the potential to increase the odds that academically at-risk students will persist to graduation, it also presents ethical issues related to the gathering and analysis of student data.

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