深度学习:智慧教育的核心支柱

发布时间：2018-05-07 12:26

本文选题：深度学习 + 世纪学习　；参考：《中国教育学刊》2017年05期

【摘要】：对教育与技术领域中的深度学习进行深入解读,发现它们在神经网络机制及教与学理论方面具有相通之处:神经网络方面均是具体到抽象的过程,教与学理论方面均旨在迁移与应用。同时也发现,人类深度学习是21世纪学习框架的具象发展,《共核课标》与《下一代科学标准》均可以作为深度学习的标尺。透析发现深度学习与智慧教育高度契合,基于此从认知、自我、人际等维度建构出智慧教育领域中深度学习的能力冰山模型:从认知到自我,能力逐渐内化;从认知到人际,能力逐渐聚合。在此基础上研制人类深度学习的发展策略:以智慧学习环境支持深度学习,以文化智慧、数据智慧、教学智慧助力深度学习,以智慧教师、适配处方指引深度学习,以智慧评估检验深度学习成效,以期为深度学习与智慧教育的携手发展铺路。
[Abstract]:The in-depth study in the field of education and technology shows that they have similarities in neural network mechanism and teaching and learning theory: neural network is a concrete to abstract process. Both teaching and learning theories aim at transfer and application. At the same time, it is also found that human in-depth learning is the concrete development of the learning framework in the 21st century. Both the Common Core Curriculum and the next Generation Scientific Standard can be used as the scale of deep learning. On the basis of the analysis, we found that deep learning and wisdom education are highly compatible. Based on this, we construct an iceberg model of the ability of deep learning in the field of wisdom education from the dimensions of cognition, self and interpersonal, which includes the gradual internalization of ability from cognition to self, and from cognition to interpersonal, and so on. Ability gradually converges. On this basis, the development strategy of human deep learning is developed: the intelligent learning environment supports the deep learning, the cultural wisdom, the data intelligence and the teaching wisdom contribute to the deep learning, and the intelligent teachers, the appropriate prescription guide the deep learning. In order to pave the way for the joint development of deep learning and wisdom education, the effectiveness of deep learning is tested with wisdom evaluation.
【作者单位】：华东师范大学开放教育学院;华东师范大学教育学部教育信息技术学系;
【基金】：全国教育科学“十二五”规划2014年度国家一般课题“智慧教育环境的构建与应用研究”(项目编号:BCA140051)研究成果
【分类号】：G434

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