[论文解读] Generative AI in Modern Education Society

Sanjay Chakraborty|arXiv (Cornell University)|Dec 10, 2024

Artificial Intelligence in Education被引用 7

一句话总结

一份文献综述，概述生成式人工智能（GenAI）如何适配教育5.0、其潜力、采用挑战，以及在教学、学习和研究中的未来研究方向。

ABSTRACT

Transitioning from Education 1.0 to Education 5.0, the integration of generative artificial intelligence (GenAI) revolutionizes the learning environment by fostering enhanced human-machine collaboration, enabling personalized, adaptive and experiential learning, and preparing students with the skills and adaptability needed for the future workforce. Our understanding of academic integrity and the scholarship of teaching, learning, and research has been revolutionised by GenAI. Schools and universities around the world are experimenting and exploring the integration of GenAI in their education systems (like, curriculum design, teaching process and assessments, administrative tasks, results generation and so on). The findings of the literature study demonstrate how well GenAI has been incorporated into the global educational system. This study explains the roles of GenAI in the schooling and university education systems with respect to the different stakeholders (students, teachers, researchers etc,). It highlights the current challenges of integrating Generative AI into the education system and outlines future directions for leveraging GenAI to enhance educational practices.

研究动机与目标

• 解释从Education 1.0到Education 5.0的演变以及GenAI在这一转变中的作用。
• 总结GenAI如何在学校和高等教育中支持个性化、自适应和体验式学习。
• 识别在将GenAI整合到教育和研究生态系统中的挑战与差距。
• 概述在Education 5.0框架下利用GenAI的未来方向和研究机会。

提出的方法

• 进行基于文献的分析，研究Education 5.0中的GenAI工具、模型及应用。
• 综合关于AI驱动教学、学习与评估的案例研究与理论视角。
• 提出一个概念框架和教育系统中GenAI整合的未来方向。

Figure 1: Evolution of Education 1.0 to Education 5.0 in the context of AI

实验结果

研究问题

• RQ1 学术生态系统如何将GenAI整合到教学与学习中？
• RQ2 如何使利益相关者的目标得到实现，并衡量和传达高等教育中GenAI的采纳？
• RQ3 现代教育系统中GenAI的主要挑战有哪些？
• RQ4 哪些未来方向可以提升GenAI在教育中的影响？

主要发现

• GenAI被视为使AI与人类协作成为可能，超越简单自动化。
• 存在与隐私、完整性、偏见和社会互动相关的重大挑战，必须解决。
• GenAI为个性化学习、快速反馈和数据驱动的教学设计提供可能，但需要小心整合与伦理考量。
• 教育5.0强调终身学习、以价值为导向的教育以及人机协作，并得到LLMs、VR/AR和自适应平台等工具的支持。
• Prompt engineering和memory/evaluation enhancements对在教育中有效部署GenAI非常重要。

Figure 2: Transition in Learning Methodologies over the Past Years