Learning Analytics, Graduate Certificate
Educators today are “swimming” in data about curricula, student assessment, social media, registrations, and demographics stored in data warehouses and "the cloud." This data makes it possible to collect, manage, and maintain massive amounts of educational information. The need to analyze and make data-based decisions in education has led to the emergence of a new field called learning analytics.
Through a set of focused courses, our curriculum will give you the opportunity to:
- Articulate and integrate diverse perspectives in the field of learning analytics, including learning analytics assumptions, theories, epistemologies, and debates
- Align learning analytics processes to address the needs of educational institutions and answer questions posed by educational leaders
- Select, prepare, implement, interpret, and evaluate learning analytic models appropriately
And should you choose, you can apply the credits you earn toward your certificate directly to our Master of Education concentration in learning analytics
Complete all courses and requirements listed below unless otherwise indicated.
|EDU 6340||Learning Analytics Concepts and Theories||4|
|EDU 6341||Introduction to Data Mining in Education||4|
|EDU 6182||Educational Statistics||4|
|EDU 6343||Predictive Modeling for Learning Analytics||4|
Program Credit/GPA Requirements
16 total quarter hours required
Minimum 3.000 GPA required