基于计算思维的网络自主学习模式的研究

发布时间：2018-05-30 03:22

本文选题：计算思维 + 网络环境　；参考：《电化教育研究》2011年05期

【摘要】：计算思维是当前国际计算机界广为关注的一个重要概念,也是当前计算机教育需要重点研究的重要课题。文章首先结合网络学习和教学模式的特点,构建了网络环境下基于计算思维的自主学习模型(Online Independent Learning Model Based on Computational Thinking.简称OILMCT)。OILMCT模型通过计算思维的一系列方法收集资源、引出问题,深入探究、找寻答案,讨论交流、得出结论,巩固练习、拓展迁移,反思自评、内化知识,最后运用实例验证了该模型的可行性和高效性。与传统的教学模式相比较,基于计算思维的网络自主学习模式在培养学习者自我建构知识以及创新思维能力方面有较大的进步,不仅可以提高学习效率,而且可以提升学习者的计算思维能力。
[Abstract]:Computational thinking is an important concept which is widely concerned in the international computer field, and it is also an important subject that needs to be studied in the current computer education. This paper first combines the characteristics of network learning and teaching mode, and constructs the online Independent Learning Model Based on Computational Thinking. model of autonomous learning based on computational thinking in the network environment. The OILMCT).OILMCT model collects resources through a series of methods of computational thinking, leads out questions, delves deeply, finds answers, discusses and communicates, draws conclusions, consolidates exercises, expands migration, reflects on self-evaluation, internalizes knowledge. Finally, the feasibility and efficiency of the model are verified by an example. Compared with the traditional teaching mode, the web-based autonomous learning model based on computational thinking has made great progress in cultivating learners' self-construction knowledge and innovative thinking ability, which can not only improve the learning efficiency. Moreover, it can improve the learners' computational thinking ability.
【作者单位】：四川师范大学计算机学院;中国科学院计算技术研究所;四川师范大学基础教育学院;
【基金】：四川省科技厅重点实验室“可视化计算与虚拟现实”项目(2008JY010522)
【分类号】：G434

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