# White Paper: The Generative Education (GenEd) Framework

**Authors:** Daniel Leiker  
**arXiv:** [2311.10732](https://arxiv.org/abs/2311.10732)  
**Date:** 2023-10-16  
**Summary page:** https://www.summarizepaper.com/fr/arxiv-id/2311.10732v2/

## Abstract

The Generative Education (GenEd) Framework explores the transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) in education, envisioning a harmonious relationship between AI and educators to enhance learning experiences. This paper delves into the potential of LMMs to create personalized, interactive, and emotionally-aware learning environments. Through addressing the Two-Sigma problem and the introduction of a conceptual product named Harmony, the narrative emphasizes educator development, adapting policy frameworks, and fostering cross-sector collaboration to realize the envisioned AI-enhanced education landscape. The discussion underscores the urgency for proactive adaptation amidst AI's evolution, offering a pragmatic roadmap to navigate the technical, ethical, and policy intricacies of integrating AI in education.