2024 NYSCATE/COSN CTO Clinic

There is a lot of excitement around the promise of AI and advanced analytics to deliver personalized learning at scale while reducing the administrative burden on teachers, staff, and leadership.

There is plenty of concern as well, especially given how rapidly these technologies are being embedded in already purchased edtech. Worries about biased models, data breaches, infrastructure costs, and more are increasingly on the minds of CTOs and CISOs.

What data sources will these large language and predictive models need to access? Can that data be transmitted securely? Is that data interoperable with data about the same students from adjacent sources? How can we ensure that these models are accessing an equitable breadth and depth of students?

In the absence of secure, interoperable data, education is playing from behind in readying itself for a data-hungry, exponentially expanding technology that is making its way into classrooms and boardrooms.

In this session, we’ll discuss how gathering data in Ed-Fi-compliant Operational Data Store (ODS) can support safe deployments of downstream applications such as generative AI, predictive analytics and more.