Ivy Tech Community College deployed AI-driven predictive analytics to analyze course data and identify students at risk of failing within the first two weeks, enabling targeted interventions that improved student success.
- 98% of at-risk students improved to at least a C grade
- 3,000 students saved from failing in one semester
Lack of early warning systems delayed interventions, increasing failure rates.
Used AI predictive analytics to monitor early course performance and flag at-risk students for timely support.
- Dramatically reduced failure rates
- Improved student retention and success
- Enabled targeted academic interventions
