Walter: A GenAI-Integrated Second Reader for Academic Assessment

Walter: A GenAI-Integrated Second Reader for Academic Assessment

This session will demonstrate how Walter (Beta v2) provides assessment professionals with a fast, secure, zero-data-retention GenAI tool capable of scoring student work in seconds. Attendees will see how Walter reduces scoring drudgery, improves inter-rater consistency, and frees faculty to focus on interpretation and continuous improvement.

The demo will highlight how institutions can use Walter as a reliable "second reader" to support accreditation expectations and streamline evidence collection. Participants will leave with concrete strategies for integrating Walter into existing workflows with minimal disruption.

About the Presenter: David M. DiSabito Jr., MBA, is the inventor of Walter and serves as the AI Liaison and Chair of the AI Working Group for the College of Business at Western New England University. As a full-time faculty member in Business Analytics, his work centers on practical, ethical, and scalable AI applications.