Revisit from 2024: The current Status and Future of Pretrained Large Language Models (LLMs) for Education Revolution

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

The rapid advancements in large language models (LLMs) have sparked growing interest in their potential application within the education sector. These powerful AI systems possess remarkable capabilities in natural language understanding, generation, and personalization, which can be leveraged to create innovative educational technologies and enhance student learning experiences.This paper provides a comprehensive overview of the current state of research and development in the educational applications of LLMs. It explores the key aspects of how these advanced language models can be utilized to enable personalized learning experiences, tailoring instructional content, delivery, and feedback to the individual needs and preferences of students.However, the integration of LLMs in educational contexts also introduces a range of limitations and ongoing challenges that must be addressed. The paper delves into the issues of accuracy and reliability, bias and fairness, transparency and interpretability, data privacy and security, scalability and integration, ethical considerations, and the need for continuous learning and adaptation.By examining these limitations and challenges, the paper highlights the multifaceted approach required to ensure the responsible and effective deployment of LLMs in educational settings. This includes collaboration among researchers, educators, technology providers, and policymakers to tackle these complex issues and harness the transformative potential of LLMs for the benefit of students and the broader educational community.The paper concludes with a discussion on the future outlook for LLM-powered educational applications, emphasizing the importance of addressing the identified limitations and ongoing challenges to enable the seamless and ethical integration of these advanced language models into learning environments. By doing so, the educational community can pave the way for the creation of personalized, adaptive, and engaging learning experiences that foster critical thinking, lifelong learning, and the holistic development of students.

Article activity feed