摘要
以中国知网(CNKI)近10年收录的409篇有关教育领域中深度学习的期刊论文为研究对象,通过Bicomb 2.0对相关数据进行提取、统计等操作,并利用SPSS 21.0和UCINET 6.0对关键词分别进行了聚类和共现分析,绘制出教育领域中有关深度学习的研究热点知识图谱。根据以上获得的数据分别对研究文献的形式特征和内容特征进行了分析,发现我国教育领域中关于深度学习发文数量呈持续增长的趋势,其研究热点和趋势主要集中于三个方面:在微课、慕课和翻转课堂的学习过程中如何促进学生深度学习;关注深度学习的过程与评价;利用相关技术促进学生深度学习,如人工智能、大数据等技术。
This study took 409 research articles collected from CNKI over the past 10 years on deep learning in the field of education as research subjects.It used Bicomb 2.0 to extract and statistically analyze relevant data;besides,it used SPSS 21.0 and UCINET 6.0 to respectively analyze the keywords in terms of clustering and co-occurrence.Hence,the knowledge mapping of the research hotspots on deep learning in the field of education was drawn.According to the data obtained above,this paper analyzed the characteristics of the form and the content of the research articles.The findings show that there is a continuous increase in the number of articles on deep learning published in the field of education in China.The research hotspots and trends are mainly focused on three aspects,i.e.,how to promote students’deep learning in the learning process in micro-lectures,MOOCs,and flipped classrooms;paying attention to the process and evaluation of deep learning;and using related technologies,such as artificial intelligence,big data etc.to enhance students’deep learning.
作者
魏利
黄慧敏
钱鸣静
WEI Li;HUANG Huimin;QIAN Mingjing(School of Education Science,Nanjing Normal University,Nanjing,Jiangsu,China 210097)
出处
《数字教育》
2018年第2期22-27,共6页
Digital Education
基金
全国教育科学"十三五"规划2017年教育部重点课题"基于力触觉反馈的在线虚拟手术交互式教学训练平台研究"(DCA170302)
作者简介
魏利(1994—),女,四川绵阳人,硕士研究生,研究方向为教育技术及数字几何处理;黄慧敏(1993—),女,河南确山人,硕士研究生,研究方向为教育技术及三维重建;;钱鸣静(1992—),女,安徽芜湖人,硕士研究生,研究方向为教育技术及科学计算可视化。
