Rethinking Higher Education: From Fixed Curricula to Learnity Graphs
Smadar Szekely, Judith Gal-Ezer, David Harel
Abstract
Higher education stands at a turning point. In an era where knowledge is increasingly accessible and which is, more often than not, mediated by advanced Artificial Intelligence (AI), the value of traditional curricula models warrants reconsideration. This does not imply that one should replace thorough academic studies. Universities remain essential in providing foundational knowledge, theoretical depth and conceptual grounding. The challenge is to extend these educational facets with learning environments that foster creativity, interdisciplinary integration, hands-on experience, and especially long-term development. In this paper, we introduce a lifelong learning framework that integrates academic, professional, and personal learning, centered on a new concept that we term learnity graphs, a structured representation of learning as interconnected units of knowledge, skills, experience, and actual artifacts, coupled with a method for presenting, and leveraging it.
Create a lesson
Related papers
Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
Abbas M. Rabiu, Abdulrazaq A. Zubair, Um-mulkhairi Ibrahim et al.
Could Underwater Data Centers Pose a Risk to AI Treaty Verification?
James Teague, Ashmita Rajmohan, Yannick Muehlhaeuser
Control-Theoretic Content Moderation
Benedetta Tessa, Serena Tardelli, Marco Avvenuti et al.
"If I Had to Buy Just ONE: Galaxy S26 Ultra": Auditing AI-Generated Product Recommendations
Lucas G. Uberti-Bona Marin, Thales Bertaglia, Giovanni Astante et al.
Understanding AI Provider Recommendations in Local Service Markets
Hazem Ibrahim, Yasir Zaki
Toward a Time-Aware Assessment Framework for the Carbon Cost of AI-Enabled Decarbonization
Chenrui Xu, Burcu Akinci, Christopher McComb