Answers to Improving Student Retention

Thursday, October 17 | 5:30PM–6:20PM | Meeting Room 213B
Session Type: Professional Development
Educators are using predictive analytics to drive higher graduation rates. Using simple, affordable, cloud-based solutions, you can predict which students are at risk of dropping out and get individualized recommendations for how to intervene and keep them on track—no analytics expertise required. Focus on what matters most: creating and retaining successful students.

Learn how to overcome barriers to adopting predictive analytics for student retention | Determine how to shift your focus from heavy, technical solutions to improving student outcomes | Discover how to quickly and easily implement customized, cloud-based analytics