摘要
人工智能教育应用背景下,面对巨量的信息洪流与便捷的获取方式,为获得而学正面临着极大的挑战。为理解而学的提出旨在回应深度学习的真实发生、高阶思维的发展及个人价值的实现。为理解而学旨在发展学习者能够基于移情理解开展意义性联系与反思性运用,强调以迁移与运用为本的知识学习过程,进而实现知识与理解间的转化与生成。
Under the background of the application of artificial intelligence education,facing the huge amount of information and convenient access,learning for acquisition is facing great challenges.The propose of learning for understanding aims to respond to the real occurrence of deep learning,the development of higher-order thinking and the realization of personal value.Learning for understanding is designed to develop learners'ability to carry about meaningful connection and reflective application based on empathic understanding,emphasizes the process of knowledge learning based transfer and application,so as to realize the transformation and generation between knowledge and understanding.
作者
张良
关素芳
ZHANG Liang;GUAN Sufang(Center for Studies of Education and Psychology of Ethnic Minorities&Faculty of Education,Southwest University,Chongqing 400715,China)
出处
《湖南师范大学教育科学学报》
CSSCI
北大核心
2021年第1期55-60,共6页
Journal of Educational Science of Hunan Normal University
基金
国家社会科学基金教育学青年项目“化知识为素养的机理与教学实现策略研究”[CHA190268]
西南大学人文社会科学后期资助项目[SWU1909014]
新疆师范大学自治区文社科基地新疆教师教育中心资助项目[XJZD2018001]
重庆市教委人文社会科学研究项目[19SKSZ010]。
关键词
人工智能
知识学习
为获得而学
为理解而学
artificial intelligence
knowledge learning
learning for acquisition
learning for understanding