Measuring what Matters to Students: Using Embedded Feedback Capture to Drive Strategic and Meaningful Change

Audience Level: 
All
Session Time Slot(s): 
Institutional Level: 
Higher Ed
Streamed: 
Onsite
Special Session: 
Research
Leadership
Abstract: 

We want to know how students are experiencing Southern New Hampshire University in real time. We have the potential to impact student persistence by measuring the ‘moments that matter’to learners, identifying poor experiences, and improving speed to resolution. By piloting surveys inside the learning environment, we've captured experience data that enables targeted pro-active interventions and product enhancements. 

Extended Abstract: 

We have the potential to impact student attrition, success, and persistence by measuring the ‘moments that matter’ to our learners, identifying poor experiences as they occur, and improving speed to resolution. We have implemented surveys inside 25 high-enrolled courses and are using these data to implement pro-active interventions leveraging faculty, advisors, and technology. With high response rates, these embedded surveys are capturing experience data and enabling strategic decision-making across the product portfolio.

Embedded surveys also enable us to see side-by-side data as new courses and products are released.  We track customer performance indicators across the product portfolio to see which products contain opportunities for improvement.  We leverage dashboards to align product teams around the problems to be solved and to utilize data that informs strategic and meaningful change.  For example, in analyzing over 14,000 survey responses we've learned that responses in week one of the course are predictive of the student's final grades.  We're using this insights to develop interventions in week one. 

Faculty views of aggregate course-level data are also being leveraged, which enables instructors to be more proactive during the term and course-correct as needed, based on active data. This helps instructors to be targeted with their communications and the support offered. 

This strategy has been a tremendous asset to the university as we utilize this data to inform priorities and opportunities to optimize the product and student experience.  In this session you will learn how to replicate this model with your institution, products, and stakeholder groups. 

Position: 
11
Conference Session: 
Concurrent Session 8
Conference Track: 
Research, Evaluation, and Learning Analytics
Session Type: 
Discovery Session
Intended Audience: 
Administrators
Design Thinkers
Faculty
Instructional Support
Students
Training Professionals
Technologists
All Attendees
Researchers
Other