LAK-7001 - K-12 Educational Data

Semester Credits: 3 Weeks: 8

Students will be introduced to the role of technology and various forms of education data used in learning analytics. An overview of data mining with special consideration and focus of best practices to be considered in learning analytics, such as the use of Learning Analytics Software and Learning Management Systems or Course Content Systems will be included. Students will be given instruction on uses and limitations of K-12 data and discussion of relevance and practicality of data for predictive analysis in the K-12 environment. Describing the change of a “rear view” perspective from a formative assessment perspective to a predictive and forecasting view is an important part of this course.