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

Wei Wang, Xuesong Lu, Bo Huang, Weining Qian, Cheqing Jin, Peng Pu, Wenxin Hu, Yaoyao Liu, Aoying Zhou, Xuan Zhou
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Abstract

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.
水山在线:数据驱动学习平台的构建与教学
信息技术的飞速发展给各行各业的运作带来了巨大的变化,这通常被称为数字化转型。为应对转型下对新型人才的巨大需求,检讨现行高校培养体系,修改教学内容和考核方法是重要而紧迫的问题。另一方面,智能教育被认为是一种新的教学范式,它旨在利用信息技术提高教育质量,扩大教育规模,促进教育公平。本文介绍了我国近年来为计算机科学教育构建新一代智能教育平台所做的努力,并讨论了计算教学法在改变传统教学方法中的关键作用。我们总结了利用该平台进行计算机科学教育的经验和最佳实践,希望能给教育工作者提供一些启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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