Education and Knowledge Systems in the Generative Age: AI-Driven Transformation of Pedagogy, Research, and Learning Systems
Abstract
Abstract: Education is crucial for societies and individuals to achieve the knowledge society. Understanding how education and knowledge systems interact with large language models (LLMs) is therefore of importance and urgency. Education and knowledge systems encompass pedagogy, research, and learning systems. LLMs have emerged as generative AI tools that can produce human-like text responses and are becoming integrated into widespread practices, pedagogies, and educational systems. Education needs to adapt to changing modes of human reasoning and co-creation of knowledge stimulated by the new advances in generative AI. Generative AI offers opportunities to enhance pedagogy, research, and learning systems in education. Education systems are being transformed by generative AI that creates text, images, and other forms of media (Katsamakas et al., 2024). Generative AI presents both challenges and opportunities to education, knowledge systems, and societies at large (Leiker, 2023). It is important to understand how education can leverage the opportunities and navigate the challenges. Keywords: Generative Artificial Intelligence, Educational Transformation, AI-Driven Pedagogy, Knowledge Systems, Learning and Research Innovation, Large Language Models (LLMs)
Fields of Study & Subjects
Digital Education and Society
Educational Leadership and Innovation
Intelligent Tutoring Systems and Adaptive Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Document type
- Book chapter