"Flipped" University: LLM-Assisted Lifelong Learning Environment
Kirill Krinkin, Tatiana Berlenko

TL;DR
This paper proposes a novel framework for a self-driven, AI-supported lifelong learning environment using Large Language Models, transforming traditional education into personalized, adaptive, and curiosity-driven learning experiences.
Contribution
It introduces a conceptual framework for a 'flipped' university leveraging LLMs to support personalized, lifelong learning and shift from institutionalized education to self-guided knowledge acquisition.
Findings
Framework emphasizes personalized, self-driven learning with LLMs.
Highlights importance of curiosity and reflection in lifelong learning.
Envisions evolution of universities into knowledge-focused 'flipped' institutions.
Abstract
The rapid development of artificial intelligence technologies, particularly Large Language Models (LLMs), has revolutionized the landscape of lifelong learning. This paper introduces a conceptual framework for a self-constructed lifelong learning environment supported by LLMs. It highlights the inadequacies of traditional education systems in keeping pace with the rapid deactualization of knowledge and skills. The proposed framework emphasizes the transformation from institutionalized education to personalized, self-driven learning. It leverages the natural language capabilities of LLMs to provide dynamic and adaptive learning experiences, facilitating the creation of personal intellectual agents that assist in knowledge acquisition. The framework integrates principles of lifelong learning, including the necessity of building personal world models, the dual modes of learning (training…
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Taxonomy
TopicsHigher Education Learning Practices · E-Learning and Knowledge Management
