Learning and Academic Analytics

Learning and Academic Analytics

There are two types of analytics which are used by educational institutions. Learning analytics and academic analytics. Learning analytics is more specific than academic analytics. Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environment in which it occurs. Thus, according to Long & Siemens (2011), data-driven decision making improves the organizational output and productivity.
Academic analytics is a provider of high-quality, custom business intelligence data solution for research universities in the United States and the United Kingdom . Academic analytics is the story of people, technology and decision making ( Katz, 2005) Today, much of the focus on academic analytics is on the actions that can be taken with real time data reporting and with predictive modeling which helps suggest likely outcomes from familiar patterns of behavior.
In the end I want to mention that although academic analytics is a relatively new concept, it refers to the analysis of data to help educational institutions monitor progress on key institutional goals such as student retention, faculty productivity and the impact of outreach and engagement.