我国深度学习研究的本土化反思及未来趋势

Reflection on the Localization and Future Trend of Deep Learning Research in China

在信息时代,由于数字化、网络化、智能化的学习方式日渐盛行,学习呈现出浅表化、碎片化、浮躁化的现象。为培养学生的核心素养,有必要深入开展深度学习以改变这一现状。通过分析2006年至2018年9月中国知网所载142篇相关文献,可知当前我国深度学习研究取得了一些成绩,主要包括内涵特征的论证、不同模型的建构、评估体系的设计等,但在深度学习课程设计、深度学习策略及评价方面的研究明显不足,同时对我国深度学习理论研究与实践中面临的特定问题缺乏清醒觉察。面对存在的问题和困难,研究者要积极参与教育教学改革,促进深度学习研究的开展,并优先在深度学习课程设计和深度学习评价两方面有所突破,从而促进深度学习在我国更健康的发展。

In the information age,due to the increasingly prevalent digital,networked and intelligent learning methods,learning becomes superficial,fragmented and impetuous. In order to cultivate students’ core competencies,it is necessary to carry out deep learning to change this situation. Based on the analysis of 142 relevant literatures published by CNKI from 2006 to September 2018,it is found that the current research of deep learning in China mainly demonstrates the connotation characteristics,constructs different models,and proposes evaluation systems.There are few researches on curriculum design,deep learning strategy and evaluation. In the face of existing problems and difficulties,researchers need to actively participate in education and teaching reform to promote the development of deep learning research,and give priority to making breakthroughs in the two aspects of deep learning curriculum design and deep learning evaluation,so as to promote the more healthy development of deep learning in our country.