This two-part online training series will help you identify key predictive data, use that data to select retention programming, and assess the overall effectiveness of your interventions. Expert instructor, Russ Little, brings knowledge and experience from across the nation. You will learn:
Strategies to inventory and map your current intervention strategy
How to utilize predictive data in selecting student success interventions
Measures and processes to evaluate your retention impact
Approaches to demonstrating student support programming ROI
You will leave this webcast better able to use predictive data to create tailored retention plans for your students.
Who should attend?
Retention focused professionals searching for strategies to enhance the effectiveness of student interventions should attend this event. Institutional researchers, student support, and academic professionals will all gain insight into the key data you should be evaluating and the steps to take to ensure your alert response programming is the most effective. You will find this training most helpful if you watch it as a cross-campus team that might address this effort.
Agenda
Session 1: Inventory and Map Interventions for Use with Predictive Analytics
Defining the Role of Predictive Analytics in Student Success
Best Practice Case Study – The Student Success Matrix*
Inventorying interventions
Connecting predictive data to interventions
Key programming and operational considerations
How to get started
Building in an Assessment Structure
Session 2: Prioritizing Interventions through Effective Assessment
Defining the Importance of Intervention Measurement
Frameworks and Common Data Definitions: Know What You Are Measuring
