LAK-7003 - K-12 Learning Analytic Considerations

Semester Credits: 3 Weeks: 8

This course will address common problems, concerns, and oversights with learning analytic projects school districts and administrators may encounter. This course will comprehensively address all the soft sides of learning analytic issues needing to be addressed, especially student privacy regulations such as (FERPA) and data ownership and stewardship. Predictive analytics in K-12 with the advantages, limitations, and implementation guidelines will also be addressed. Students will engage in activities on role of using learning analytics for prediction (e.g., predicting college readiness or graduation) versus formative assessment (e.g., data used as live, real time action data to gauge performance, course correct and provide intervention) at the K-12 level. This course will expose students to many “active” K-12 learning analytic projects continually occurring.