NMSU Global Transforms Student Success with Real-Time Engagement Insights
About
New Mexico State University Global Campus offers flexible, career-relevant online education through more than 70 degree and certificate programs. With a commitment to accessibility and workforce readiness, NMSU Global has achieved over 35% year-over-year enrollment growth for the past three years.
The Challenge
“We want our online students to feel part of a community that supports their success,” says Robbie Grant, Director of Academic Technology. But without a way to easily track engagement, the team struggled to identify and support students at risk of disengaging or withdrawing.
Pulling data from the LMS was slow and labor-intensive—some reports took nearly a year to generate. The team needed faster access to meaningful insights to take timely, targeted action.
The Strategy
NMSU Global set out to move beyond historical reporting to real-time student insights. They began by integrating Canvas LMS data into a centralized learning analytics platform, aiming for a full-picture view of student engagement from enrollment through graduation.
After reviewing multiple solutions, NMSU Global selected IntelliBoard. The platform’s advanced reporting capabilities allowed them to:
- Identify at-risk students based on recent activity
- Automate alerts for advisors and support staff
- Create dashboards to monitor trends and measure impact
The Results
Within weeks of launching IntelliBoard, NMSU Global used new dashboards to flag 217 students who had not logged into Canvas in the past seven days. Their Student Success team reached out directly—and within just two weeks, 204 students were re-engaged, a 94% success rate.
“Getting 204 students back into active learning in just two weeks was a phenomenal result for us,” said Grant.
This success helped NMSU Global develop a scalable model for intervention and early outreach, positioning their team to support learners before they fall behind.
What’s Next
NMSU Global continues to expand its use of learning analytics by:
- Aggregating additional data to improve risk predictions
- Aiming for a 90–95% retention rate
- Publishing research on peer review tools in Canvas
- Expanding access to advisor dashboards for more personalized student support
