Oregon State University February University Innovation Alliance

What is the UIA? ( “The University Innovation Alliance (UIA) is a consortium of 11 large public research universities committed to making high-quality college degrees accessible to a diverse body of students.”

What is the UIA? “Because UIA member institutions serve large numbers of first generation, low-income students— the group lagging farthest behind in earning college degrees — we are at the forefront of America’s race to regain its educational edge and increase economic opportunity and mobility. Many of our universities have been recognized for aggressively driving innovations to serve more students with quality programs at sustainable cost. Now we will work together to leverage our experience and strengths to maximize our collective impact.”

UIA Goal “Our goal is to improve outcomes for ALL students regardless of background. From predictive analytics to intensive advising, Alliance universities are helping students in highly innovative ways. Now, for the first time, we're going to introduce these innovations across the alliance to see what works on a larger scale. We are engaging in a public experiment to change the way universities work together and help more students achieve a quality college degree.”

UIA Commitment UIA member institutions have pledged to graduate 68,000 additional students by 2025 “By working as an innovation cluster, the University Innovation Alliance will create a playbook of proven innovations to help students from all family backgrounds graduate. We will show what works across institutions and at scale, and we’re going to help spread these innovations nationally. For universities, this means spending less time on unproven strategies. For students, this means universities will work even harder for your success and lower the costs of a degree.”

UIA Goal: To help more students succeed UIA Member Institutions Oregon State University University of Central Florida Arizona State University University of Kansas Georgia State University Purdue University The Ohio State University UC Riverside Iowa State University of Texas at Austin Michigan State University

UIA: OSU as founding member President Ray’s focus on improving success/completion rates for this population of students in particular: Goal 1 of Strategic Plan 3.0: Provide a transformative educational experience for all learners Enhance an integrated learning environment that raises and equalizes retention and success of all learners Enhancing diversity as essential to the plan “We will pursue inclusive excellence – equity in student success and quality learning.”

UIA Institutions’ First Initiative- Predictive Analytics o Predictive analytics and proactive advising o Predictive analytics and proactive advising Georgia State University (increased time-to-degree – 1200 more students staying in school; graduating class of 2014 saved $10 million in tuition and fees) o eAdvisor o Arizona State University (helps students select major sooner, map classes, track degree progress) o University Leadership Network o University Leadership Network UT Austin (identify students with academic and financial need and help them develop leadership skills)

Predictive OSU Student Success Collaborative (SSC) tool from the Education Advisory Board OSU is providing 10 years’ of data for the SSC tool to analyze in order to map students’ routes to completion specific to OSU Constant interaction between Enterprise Computer, Registrar’s Office, and SSC Availability of information on individual students, courses, majors, departments/units, colleges Additional tool in toolkit that includes MyDegrees, Web for Advisors, etc.

10 Some Examples of the Questions We Might Be Able to Answer 1) How Might We Best Serve You? SSC: What Do We Hope to Uncover in Our Data? Examples of the Questions We Might Be Able to Answer Institutional Performance  Which programs have below-average graduation rates?  Which programs have bottleneck requirements that impact success?  Which courses have the highest DFW rates? Student Characteristics  How does hometown or high school correlate with risk of not graduating?  What circumstances put financial aid recipients at higher risk?  Do transfer students fare better or worse than native students? Student Behaviors  How late should we allow a student to declare a new major?  What represents a high-risk (or low-risk) major change?  What are the most common transition pathways majors? Student Performance  How do GPA trends correlate with success rates?  What impact does part-time status have on overall success?  How are we doing in supporting our best students to avoid transfer?

11 Student Data InputsPredictive Outputs Risk in current major Risk in other majors Custom Predictive Model Academic and Course Registration Records Analyze historical records, searching for similar students We start with an individual student’s records And predict their likelihood to graduate in a given major SSC Advising Platform: A High Level Overview

12 SSC: Various Forms of Leveraging Data  Critical courses and timing  Programmatic trends  Patterns of student transitions  Pinpointing areas of opportunity Two Major Deliverables To Support Our Work Predictive WorkbooksAdvising Platform  Proactively identify at-risk students  Compare to previous students  Major Guidance  Career Analytics Administrators and Deans Advisors and Advising Directors

Predictive Analytics for Courses and Majors

14 Platform Success Progress

15 Platform Student Overview

Predictive Analytics: Student Histories

17 Platform Major Explorer

18 Platform Career Information

19 Platform Creating Notes and Reminders for Students

Source: Education Advisory Board interviews and analysis Reviewing Our Impact Over Time SSC Utilization Report Excel spreadsheet can be filtered by college, department, or individual advisor Advisor Logins and Reminders  Number of logins  Days since last login  Total number of outstanding reminders  Total number of notes Trending by Student Status Types  Monthly trending by total status changes  Status changes by status type Trending by Students Seen  Monthly trending of students seen by risk score  Monthly trending of students seen by classification of last status

How do we plan to use this tool at OSU? Advising Example: identify courses which are indicators of future success Example: identify students who are not yet in negative academic standing, but are not on a direct path to completion (murky middle) Example: help students identify range of majors leading to career goals Other uses are being discussed and can be added as we learn the capabilities of the tool Unit-level data Example: identify bottlenecks, key decision points for students Example: identify stumbling blocks in mappings of major requirements and how students complete them

Timeline Winter term – communication with campus constituents about the coming tool UEC, UCSEE, AAC, CHA, Provost’s Council, President’s Cabinet, Faculty Senate, Unit Heads, others as identified Spring term – kick-off event, Student Success Collaborative visit to campus Next academic year – implementation of use in pilot majors, campus-wide discussions of use of tool