LAK-7000 - Introduction to Learning Analytics

Semester Credits: 3 Weeks: 8

Students will be introduced to the evolution of data analytics and its progression into education. Prominent theories and leaders in learning analytics will be explored. Students will learn to delineate between learner analytics, academic analytics, and data mining. This course will outline the distinction in purpose and function learning analytics plays in the K-12 environment. Students will be introduced to the historical forces responsible for driving the growth of K-12 learning analytics, such as Federal legislation, high stakes testing, increased call for accountability, reduction in resources, and an increase in commercially branded software. Students will examine potential uses in K-12 environments, as well as introduction to criteria for a successful K-12 learner analytic program and perspectives of potential key stakeholders regarding the implementation of learner analytics.