English

White Paper: The Generative Education (GenEd) Framework

Computers and Society 2023-11-23 v2

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.

Keywords

Cite

@article{arxiv.2311.10732,
  title  = {White Paper: The Generative Education (GenEd) Framework},
  author = {Daniel Leiker},
  journal= {arXiv preprint arXiv:2311.10732},
  year   = {2023}
}
R2 v1 2026-06-28T13:24:33.126Z