Transforming Education With Generative AI (GAI): Key Insights and Future Prospects

IF 2.9 3区教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

IEEE Transactions on Learning Technologies Pub Date : 2025-02-03 DOI:10.1109/TLT.2025.3537618

Qi Lang;Minjuan Wang;Minghao Yin;Shuang Liang;Wenzhuo Song

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引用次数: 0

Abstract

Generative artificial intelligence (GAI) has demonstrated remarkable potential in both educational practice and research, particularly in areas, such as personalized learning, adaptive assessment, innovative teaching methods, and cross-cultural communication. However, it faces several significant challenges, including the comprehension of complex domain knowledge, technological accessibility, and the delineation of AI's role in education. Addressing these challenges necessitates collaborative efforts from educators and researchers. This article summarizes the state-of-the-art large language models (LLMs) developed by various technology companies, exploring their diverse applications and unique contributions to primary, higher, and vocational education. Furthermore, it reviews recent research from the past three years, focusing on the challenges and solutions associated with GAI in educational practice and research. The aim of the review is to provide novel insights for enhancing human–computer interaction in educational settings through the utilization of GAI. Statistical analysis reveals that the current application of LLMs in the education sector is predominantly centered on the ChatGPT series. A key focus for future research lies in effectively integrating a broader range of LLMs into educational tasks, with particular emphasis on the interaction between multimodal LLMs and educational scenarios.

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用生成式人工智能（GAI）改造教育：关键见解和未来展望

生成式人工智能（GAI）在教育实践和研究中都显示出巨大的潜力，特别是在个性化学习、适应性评估、创新教学方法和跨文化交流等领域。然而，它面临着几个重大挑战，包括对复杂领域知识的理解、技术可访问性以及人工智能在教育中的作用的描述。应对这些挑战需要教育工作者和研究人员的共同努力。本文总结了各种技术公司开发的最先进的大型语言模型（llm），探索了它们的不同应用和对初级、高等和职业教育的独特贡献。此外，它回顾了过去三年的最新研究，重点关注教育实践和研究中与GAI相关的挑战和解决方案。这篇综述的目的是为利用GAI增强教育环境中的人机交互提供新的见解。统计分析显示，目前法学硕士在教育领域的应用主要集中在ChatGPT系列。未来研究的一个重点在于将更广泛的法学硕士有效地整合到教育任务中，特别强调多模式法学硕士与教育场景之间的相互作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

7.50

自引率

5.40%

发文量

审稿时长

>12 weeks

期刊介绍： The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.