教育科研新范式:人工智能驱动的教育科学研究  

A New Paradigm of Educational Research:A Research into AI-Driven Educational Science

作　　者：刘三女牙[1,2] 郝晓晗 李卿[2] Liu Sannyuya;Hao Xiaohan;Li Qing(Faculty of Artificial Intelligence in Education,Central China Normal University,.Wuhan 4430079;National Engineering Research Center of Educational Big Data,Central China Normal University,Wuhan 4430079)

机构地区：[1]华中师范大学人工智能教育学部,武汉430079 [2]华中师范大学教育大数据应用技术国家工程研究中心,武汉430079

出　　处：《教育研究》2024年第3期147-159,共13页Educational Research

基　　金：国家自然科学基金2024年专项项目“教育科技人才一体布局视角下的国际主要科学资助机构管理体系与资助机制研究”(编号:L2324107)的研究成果。

摘　　要：范式的更迭与转换推动了科学变革。当前,人工智能立于科学变革潮头,给自然科学领域的科学发现与科研进步带来冲击,也为教育科研转型带来新机遇,有望在本体论、认识论、方法论和价值论维度影响教育研究,推动形成人工智能驱动的教育科学研究范式。该范式将通过提供强大的计算能力,为教育科研注入计算思维和技术基因,实现教育科研的底层理念之变;通过提升知识发现效率和释放科研人员生产力,推动构建人机混合增强的教育科研创新模式,实现教育科研的实践形式之变;通过强化多学科交叉融合和跨学科协作交流,促进形成交叉共融的教育科研组织体系,实现教育科研的组织生态之变。在此基础上,人工智能驱动的教育科学研究范式可以为教育分支学科或交叉学科的研究活动开辟新的思考向度与实践路径。未来,人们有望创造出人工智能与教育科研并行发展、双向赋能的新图景。但同时,为增强人工智能在教育科学中的积极影响力,人们必须应对算法创新与算法风险带来的挑战,让人工智能更好地驱动教育科学研究。The alternation and transformation of paradigms pushed forward scientific change.At present,artificial intelligence(AI)stands at the forefront of scientific change,impacting scientific discoveries and research progress in natural sciences,but it brings new opportunities to the transformation of educational research,and it is expected to influence educational research in such dimensions as ontology,epistemology,methodology and axiology,and promote the establishment of an AI-driven educational research paradigm,namely"Artificial Intelligence for Education Science(AI4ES)."This paradigm will inject computational thinking and technical genes into educational research by providing powerful computing power,and change the underlying ideas of educational research;improve the efficiency of knowledge discovery,unleash the productivity of researchers,promote the construction of an innovative human-machine model of educational research,and change the practice of educational research;and promote the establishment of an interdisciplinary and inclusive organizational system of educational research by strengthening multi-disciplinary integration and cross-disciplinary cooperation,and change the organizational ecology of educational research.Based on this,AI4ES can open new paths of thinking and practice for the research into sub-or inter-disciplines of education.In the future,people will have opportunities to create a new prospect that AI and educational research will pursue parallel development and two-way empowerment.However,to enhance the positive impact of AI in educational science,people must address the challenges from algorithmic innovation and risks to make AI a better driver of educational research.

关 键 词：教育研究范式 教育科学研究 人工智能 人工智能驱动的教育科学研究范式 

分 类 号：G40-03[文化科学—教育学原理]