1. Assessment & Analytics Using Data to Inform & Improve Student Success Strategy

2. Introductions

3. Initial Data Review Findings Fall 2005 85% of online students were completing courses. 77% of students who completed, passed course with grade of C or better. Is this good enough? What questions should we ask?

6. What is your organization doing today to identify online students at-risk of withdrawing from or not successfully completing a course? Introduction

10. Week 1 Days Logged In : Completed vs. Dropped Student Completed Avg. = 3.1 Dropped Avg. = 1.7 Avg. Days Logged In/Section by Department Completed Student at Add/Drop Dropped Student at Add/Drop

11. Week 1 Activity: Completed vs. Dropped Student Completed Avg. = 3.1 Dropped Avg. = 1.3 Avg. Student Activity/Section by Department (hrs) Completed Student at Add/Drop Dropped Student at Add/Drop

14. Progress Report Provided to College Advisors Weekly First Name Course Last Login Date Activity Minutes Activity Submission Count Course Points Earned Course Points Possible to Date Course Average Grade To Date Rocky 4/28/11 722 11 133 470 28.30% Melissa 5/8/11 3,053 35 479 530 90.38% Megan 5/5/11 2,981 30 557 556 100.18% Anneliese 5/7/11 5,633 66 509 585 87.01% Bradley 5/8/11 2,613 57 508 820 70.37% Alyssa 5/8/11 3,290 116 625 680 91.91% Lynsey 5/8/11 2,536 72 860 1,000 88.02% Jeremy 5/8/11 1,209 37 62 190 32.63% Angelica 5/7/11 731 24 789 900 87.67% Carrie 4/5/11 103 2 31 145 21.38%

15. Instructor Report Conveniently Located Within Course

16. Instructor Report Provided to Advisors Student Name Instructor Name Reason for At Risk Other Explanations At Risk Date Heather Lori Other Did not complete Unit 1. I did get an e-mail doesn't understand how class works, needs some help. 1/23/2011 Ann Steve Not completing assignments missed first quiz and first lab assignment 1/26/2011 Courtney Rose Other Did not participate in Week 1. 1/26/2011 Donna Mark Stopped Participating She participated through week 6, has since dropped off the map and I have not received any work from her. She’s not responded to e-mail. 3/16/2011

18. Intermission You Can Do This Questions?

20. Now What? Completion Rates vs. Enrollments Avg. Section Completion Rate = 77% Department Term Start Enrollments I II III IV Median Dept Enrollments = 767 Department Completion Rates – Term Start to Term End English Mathematics

22. Faculty Dashboard

23. Faculty Dashboard

24. Student Dashboard

25. Enrollments (at course end) 12 Withdrawals 7 Course Average Grade 55% Noticeable Trends: Top scoring students show strong edges to professor in both directions. Secondary networks forming between multiple high performing students Questions to Research (Predictive) 1. Do networks between students relate to successful completion? 2. How does professor interaction with at risk or low performing students impact student success? MAT100 – Section A Thread Interaction

26. Enrollments (at course end) 17 Withdrawals 4 Course Average Grade 83% Noticeable Trends: Multiple directional edges to and from the professor node. Multiple secondary networks forming. Lamsen is a curiosity – no target interaction to that node, yet multiple source edges Joshua not part of the forming subnetworks Question to Research (Predictive) How important is multi node, multi directional interaction to course success? MAT100 – Section B Thread Interaction

27. Conclusion You can do this too. Questions?

28. Contacts Steve Rheinschmidt, Director ICCOC [email_address] Steve Ast, Senior Account Exec. eCollege [email_address]