摘要
自主知识的增长和积累是构建自主知识体系的基础。科学发展的历史表明,不同运动形式运动规律的揭示,不论是物理、化学、生物还是社会的运动,都与研究方法的创新密不可分;而实证研究在其中起着关键作用,在某种意义上说,方法创新就是实证研究方法的创新。比起自然科学和其他社会科学,教育学的知识增长相对缓慢,知识积累不足,一个核心的原因就是实证研究不足,方法创新不足。当前,我们已经进入了数字时代和教育高质量发展的新阶段,面临着一系列重大教育理论问题和实践问题,通过方法创新,破解自主知识不足的难题,是构建教育学自主知识体系的内在要求。
The growth and accumulation of autonomous knowledge are the foundation for constructing an autonomous knowledge system.The history of scientific development demonstrates that the revelation of the laws of motion in various forms,whether physical,chemical,biological,or social,is inseparable from innovations in re-search methods.Empirical research plays a key role in this process,and to a certain extent,method innovation equates to the innovation of empirical research methods.Compared to natural sciences and other social sciences,the growth of knowledge in education sciences is relatively slow and the accumulation of knowledge is inadequate.A core reason for this is the insufficiency of empirical research and methodological innovation.Currently,we have entered the digital age and a new stage of high-quality educational development,facing a series of significant theoret-ical and practical educational issues.Addressing the challenge of inadequate autonomous knowledge through meth-odological innovation is an intrinsic requirement for constructing an autonomous knowledge system in education.
作者
袁振国
谢晨
潘苏东
迟少辉
禹娜
陈思语
Yuan Zhenguo;Xie Chen;Pan Sudong;Chi Shaohui;Yu Na;Chen Siyu(Faculty of Education,East China Normal University,Shanghai 200062,China;School of Physics and Electronic Science,East China Normal University,Shanghai 200241,China;School of Chemistry and Molecular Engineering,East China Normal University,Shanghai 200241,China;School of Life Sciences,East China Normal University,Shanghai 200241,China;Advanced Students of East China Normal University,Shanghai 200262,China)
出处
《华东师范大学学报(教育科学版)》
CSSCI
北大核心
2024年第11期1-11,共11页
Journal of East China Normal University:Educational Sciences
基金
教育部教育科技发展战略研究中心系列项目之一。
关键词
方法创新
实证研究
自主知识体系
methodological innovation
empirical research
autonomous knowledge system