Resources & Research
Webinars, publications, research findings, and assessment resources from EdGenAI's work with educators and institutions worldwide.
Reimagining Assessments in the Era of GenAI
A Practical Conversation for Hospitality & Cookery RTOs
Featuring a live demo on consistent, bias-free grading with human-in-the-loop validation.
Cookery and hospitality assessment carries a challenge few other disciplines face: grading a dish, not a document. This session unpacks how RTOs can bring consistency and defensibility to performance-based assessment without adding to assessor workload.
Joining the session are Mr. Suhas Agrawal, Co-Founder of EdGenAI Technologies, and Mr. Prabh Singh, CEO of Finix Institute of Hospitality.
Mr. Prabh Singh, CEO of Finix Institute of Hospitality — a seasoned business leader with over a decade of experience in entrepreneurship and operational management.
Who should attend: RTO managers, lead assessors, and compliance leads across hospitality and cookery qualifications.
- Core assessor challenges:consistency, workload & compliance pressure
- Performance-based tasks: the unique difficulty of grading cooked items
- Live demo: consistent, bias-free grading, ASQA compliant with HITL
This is Session 1 of an ongoing series. Future sessions will explore Assurance of Learning, assessment design, and academic integrity in the age of AI — stay tuned.
Research & Publications
Latest findings from our research into AI-assisted assessment and educational technology.
The Digital Pirahã Condition: Ecological Mismatch and the Reconstruction of Recursive Cognition
Introduces the Digital Pirahã Condition — a cultural-ecological model explaining how contemporary digital and AI-mediated environments reshape cognitive development. The paper synthesizes research in cognitive ecology to show how datafied infrastructures cultivate shallow cognitive patterns, creating a mismatch with institutional practices that require recursive, hierarchical reasoning.
Read Full Paper →Religion and Artificial Intelligence as Distributed Meaning Systems: A Naturalistic Conceptual Model
Develops a naturalistic framework treating religion and AI as structurally parallel distributed meaning systems, both emerging from cognitive processes that generate, stabilize, and transmit meaning through symbolic environments — offering insight into how AI systems become culturally entrenched authorities.
Read Full Paper →