基于移动互联网和大数据的课外脆弱时间驱动计算机程序设计课程教学设计

Gang Wang, Hui Xiao, Shiting Wen, Huanjie Hong
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引用次数: 0

摘要

随着大数据和人工智能技术的发展,计算机技术和软件工程在当前社会经济发展中发挥着重要作用。目前,计算机教育的教学模式侧重于课堂教学效果。然而,他们忽视了课外学习效果的提高。本文选择c#编程课程作为研究对象。提出微信群互动、微信公众号推送文章、知名科技博客app个性化推荐三种方式。从教学效果和表现的测试结果来看,我们提出的方法可以提高脆弱时期课外学习的效果。Keywords-computer教育;c#编程课程;教学模式;大数据;移动互联网
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracurricular Fragile Time-Driven Computer Programming Courses Teaching Designing Based on Mobile Internet and Big Data
With the development of big data and artificial intelligence technology, computer technology and soft engineering play an important role in the current social economy development. Currently, the current teaching mode of the computer education focuses on the classroom teaching effect. However, they ignore the improvement of extracurricular learning effect. This paper selects the C# programming course as the research object. Three approaches, including WeChat group interaction, pushing articles from WeChat public accounts and personalization recommendations by famous technology blog Apps, are proposed. From the test result of the teaching effect and performance, our proposed approaches can improve the effect of extracurricular learning in a fragile time. Keywords—computer education; C# programming course; teaching mode; big data; mobile internet
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