Intelligent Student
Success Ecosystem
As higher education expands across hybrid and digital delivery models, student success depends on proactive intelligence rather than reactive reporting. A large multi-campus university system partnered with RSA Tech to transform fragmented academic data into a real-time student intelligence ecosystem.
The Context
The client was a public university system operating across multiple campuses with more than one hundred thousand active students. Academic data lived across learning management systems, student information systems, advising tools, and engagement platforms.
Advisors lacked a unified view of student risk and were forced to act only after academic failure occurred.
The Friction Point
Academic advisors relied on delayed indicators such as failed exams or withdrawal notices. LMS data lacked predictive insight. Outreach was manual and inconsistent. There was no system wide early warning mechanism to identify disengaged students before outcomes were impacted.
Advisors reacting to failure instead of preventing it.
Siloed LMS and SIS data preventing a holistic student view.
Manual outreach workflows that didn't scale.
How We Re-Architected Student Intelligence
Unified Education Data Layer
RSA Tech integrated LMS activity, attendance, assessments, engagement signals, and SIS records into a secure real-time student data foundation.
Predictive Student Risk Modeling
Machine learning models identified at-risk students weeks in advance by analyzing behavioral patterns across engagement, submissions, and performance trends.
Automated Intervention Orchestration
The system triggered personalized student nudges, prioritized advisor alerts, and coordinated outreach workflows while maintaining full FERPA compliance.
The Solution: Intelligent Student Success Platform
Longitudinal academic and engagement view.
Identifying risk patterns early.
Prioritizing intervention actions.
Coordinating student communication.
Impact on Student Outcomes
in student retention.
in advisor efficiency.
Across academic lifecycle.
Measurable increase in scores.
Light Mode Applied AI Experience
Modern learners expect instant feedback and personalized guidance. A hybrid technical training institute partnered with RSA Tech to scale one-to-one mentorship.
The AI Tutor
Revolution
Scaling one-to-one mentorship using generative AI without increasing instructor workload.
The Challenge
Instructors were overwhelmed by repetitive student questions. Feedback cycles were slow. Learners were blocked on basic errors for extended periods. Global learners expected support at all hours.
Instructors overwhelmed by repetitive questions.
Slow feedback cycles blocking progress.
Learners blocked on basic errors.
Need for 24/7 global support.
The Solution: AI Teaching Assistants
RSA Tech implemented curriculum-trained large language models directly within the learning environment. These assistants provided context-aware guidance rather than direct answers.
Guiding learners through problem solving.
Providing real-time critical feedback.
Responses aligned to course material.
Ensuring governance and quality.