Student success is a key concern in the higher ed community. Join this session to learn how Western Governors University (WGU) and Cornell University are tackling student success issues by placing the emphasis on the student experience rather than on back office solutions. WGU will share how they are using predictive analytics to proactively ensure student success not only at the course level, but also in staying on track for graduation. They will also show how they’ve created a Student Community to increase collaboration and foster a culture among distance learners. Cornell will then share its student-first approach to building an engagement platform. It’s social on the front end and ‘big data’ on the back end with the goal of creating a simple and intuitive online experience.

1. Students First For Student Success

2. Course Mentor Performance Coordinator
Western Governors University
Erin Smith
Salesforce Program Manager
Western Governors University
Dave Perry
Director of Interactive Services
Cornell University
College of Agriculture and Life Sciences
Rebecca Joffrey

3. First Last Name
Title
Western Governors University is an online university driven by
a mission to expand access to higher education through
online, competency-based degree programs. WGU has
flourished into a national university, serving more than 50,000
students from all 50 states.
WGU was founded by the governors of 19 U.S. states. At no
other time in the history of higher education have the
governors of several states joined together to create a
university. WGU is also supported by over 20 major
corporations and foundations who believe in WGU's
commitment to producing highly competent graduates.
Western Governors University

4. WGU Focus: Graduation
All that matters to us is student success measured by graduation…

5. Data & Analytics:
Personalization
Analyze
Feedback/Intervene

6. Data & Analytics: At-Risk Intervention/OTP Impact
What data is used to classify students?
• demographics
• prior academic performance
• assessment performance
• task stream performance
• mentor notes
• learning resource usage
• difficulty of assessments in term
• time left in term
The broad categories create approximately 1800 attributes per student.

7. Data & Analytics: At-Risk Intervention/OTP Impact
How is the data used?
• Provide differential treatments to students based on risk classification
– Create proactive vs. reactive protocols
• Use all available data about a student at any given time to classify student risk
based on the probability making term OTP
• Classification of students into high, medium, and low risk categories is dynamic
and influenced by recent behavior

8. Data & Analytics: At-Risk Intervention/OTP Impact

9. Data & Analytics: At-Risk Intervention/OTP Impact
What are the outcomes?

10. Course Communities

21. Rebecca Joffrey
Director of Interactive Services
Cornell University

22. Students First for Student Success
Cornell’s Goal
Make it easier for students
to navigate the resources of the university

23. Become a Connected Campus:
Put Your Students at the Center
Real-Time Data
Mobile
Social
360° student view
Communicate more
effectively
Recruit the right
students
Ensure student
success
Raise
more funds
This is CRM

24. What do students really need?
What forms do I need to
fill out to graduate?
I’m failing my classes,
what do I do?
Social
Mobile
How do I update my meal plan?
How do I get a bus pass?
What classes
should I take? I want to intern
at a start-up
How do I find out about
studying abroad?
Real-Time Data

25. Save time
reading email Find relevant
information
Take the right classes
Social
Mobile
Real-Time Data
Discover career
options
Figure out
deadlines
Graduate
on time
Get support
when needed
See what’s
going on
This is UXPBecome a Connected Campus:
Put Your University at the Center
360° university view
CORNELL

26. The New Student Experience

27. The information model for on-boarding

28. A Communities model for on-boarding

29. Students go from the Cornell information
portal to their College’s Chatter group
A Communities model for on-boarding

30. A social front end with a big data back end
This is
where CRM
and UXP
meet