Shuishan Online: Constructing and Teaching with A Data-driven Learning Platform

被引:0
|
作者
Wang, Wei [1 ]
Lu, Xuesong [1 ]
Huang, Bo [1 ]
Qian, Weining [1 ]
Jin, Cheqing [1 ]
Pu, Peng [1 ]
Hu, Wenxin [1 ]
Liu, Yao [1 ]
Zhou, Aoying [1 ]
Zhou, Xuan [1 ]
机构
[1] East China Normal Univ, Sch Data Sci & Engn, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
computational pedagogy; data-driven learning platform; computer science education; blended learning; process-based learning evaluation;
D O I
10.1109/TALE52509.2021.9678666
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The rapid development of information technology has brought tremendous changes to the operation of all industries, which is usually referred to as digital transformation. In response to the huge demand for new talents under such transformation, reviewing the current training system in colleges and universities and revising the teaching content and evaluation methods are important and urgent issues. On the other hand, intelligent education is considered as a new teaching paradigm, which aims to improve education quality, expand education scale and promote education equity by leveraging information technologies. In this paper, we demonstrate our recent effort in constructing a new generation of intelligent education platform for computer science education, and discuss the key role of computational pedagogy in transforming the traditional teaching methods. We summarize our experience and the best practice in computer science education with the platform, and hope to deliver some insight to the educators.
引用
收藏
页码:536 / 543
页数:8
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