Creating Resilient Student Experiences with Heuristic-Based Monitoring

The use of AI applications by higher education institutions seeking to create superior student experiences and bolster student success is widely debated. On the one hand, students and privacy advocates highlight the intrusiveness associated with collecting personal data, not to mention issues of bias, required to build and run these applications; meanwhile, innovators seeking to modernize academic operations and learning experiences are resolved to drive digital transformation. As the pandemic exposes the need for agile operations to promote continuity and resilience in student support and learning, Heuristic-Based Monitoring (hBM) systems arguably have a role to play. In this panel we will discuss what hBM systems are, a real use case, and issues and considerations for leveraging these types of applications.