Yesim Askin
CDO,
Michigan State University
In-House Data Science for Student Success
Thursday, November 02, 2017 | 8:00AM–8:30AM ET | Meeting Room 204B, 200 Level
Session Type:
Breakout Session
Delivery Format:
Multi-Campus Perspective Panel, Talk Show
This presentation features a cyclical model for introducing student success programs to a campus. Utilize data to conceive of, implement, and assess new programs and interventions. Overcome challenges with introducing data science practices in higher education. Apply findings from the University Innovation Alliance to your campus.
Outcomes: Understand the relationship between data, insights, and programming to drive toward institutional strategy * Describe strategies for composing a cross-functional team to overcome silos and differences among stakeholders * Identify necessary sources of data and likely collaborators to pursue your institution's student success goals
Outcomes: Understand the relationship between data, insights, and programming to drive toward institutional strategy * Describe strategies for composing a cross-functional team to overcome silos and differences among stakeholders * Identify necessary sources of data and likely collaborators to pursue your institution's student success goals
