首页|生成式人工智能教育应用:发展历史、国际态势与未来展望

生成式人工智能教育应用:发展历史、国际态势与未来展望

扫码查看
生成式人工智能特殊的技术原理、特征与功能,使它为教育的系统性与颠覆性变革创造可能性.不同国家与组织因为文化背景、技术水平、教育需求、话语体系、社会条件等方面的差异,导致对待生成式人工智能教育应用的问题在某种程度上表现出不同的态度和举措.但总体上,仍有一些共性之处:应用谨慎、决策自主、态度乐观与指导细致.展望未来,生成式人工智能的教育应用,应在国家层面加强顶层设计,构建生成式人工智能教育应用的规范化体系;优先制定法规和指导方针,确保生成式人工智能技术开发的透明度和安全性;各利益相关者协作努力,最大限度地发挥生成式人工智能教育应用的潜力;加强人工智能素养与伦理教育,以应对快速发展的人工智能环境.
Generative Artificial Intelligence Application in Education:History,International Situation and Future Development
The special technical principles,characteristics and functions of generative artificial intelligence make it possible to create systematic and subversive changes in education.Different countries and organizations differ in cultural background,technical level,educational needs,discourse system and social conditions,therefore they show different attitudes and measures towards the educational application of generative artificial intelligence to a certain extent.But in general,there are still some commonalities:cautious application,independent decision-making,optimistic attitude and careful guidance.The future prospects of generative AI education application mainly include:strengthening top-level design at the national level and building a standardized system of generative AI education application;prioritize regulations and guidelines to ensure transparency and safety in the development of generative AI technologies;stakeholders work collaboratively to maximize the potential of generative AI for educational applications;and strengthen AI literacy and ethics education to cope with the rapidly developing AI environment.

generative artificial intelligenceChatGPTartificial intelligence in educationgeneral large model

吴河江、吴砥

展开 >

华中师范大学教育部教育信息化战略研究基地,湖北武汉 430079

生成式人工智能 ChatGPT 人工智能在教育 通用大模型

教育部哲学社会科学研究重大课题攻关项目(2022)

22JZD045

2024

比较教育研究
北京师范大学

比较教育研究

CSTPCDCSSCICHSSCD北大核心
影响因子:0.807
ISSN:1003-7667
年,卷(期):2024.46(6)