In an era where Generative AI is reshaping how knowledge is produced, evaluated, and shared, traditional approaches to grading and assessment demand serious re-examination.
Join us for a high-impact academic webinar with Jason Gulya, PhD, Professor of English at Berkeley College, NY, as we explore the dynamic relationship between grades, student growth, and Generative AI. This session will challenge conventional assessment models and invite educators to rethink what meaningful learning and academic rigor look like in an AI-enhanced educational landscape.
Drawing on research, classroom practice, and emerging trends, the webinar will examine:
– The limitations of traditional grading in the age of AI
– How Generative AI disrupts authorship, originality, and assessment
– Reframing student growth beyond grades
– Pedagogical opportunities for more authentic, learning-centered evaluation
This webinar offers critical insights and practical reflections for educators seeking to align assessment with deeper learning, ethical AI use, and long-term student development.
Date: Friday, February 13
Time: 11:00 AM EST | 6:00 PM Beirut
Platform: Zoom
https://us06web.zoom.us/meeting/register/5eklefPiQX6CfflzcL9E8Q
Ideal for educators, academic leaders, curriculum designers, and researchers engaged in shaping the future of teaching and learning.
