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Computational Thinking Through Modeling In Language Lessons

机译:通过语言课程建模计算思考

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In contrast to the field of computer-supported or computer-assisted language learning (CALL), which has been investigated intensively for the last decades since the beginning of e-learning and technology-enhanced learning, computational thinking and computer science concepts are not quite common in the context of language lessons. Computational thinking is a problem solving process that, at first sight, has not much to do with language learning. However, as demanded by Jeannette Wing in 2006, it should be taught to everyone like reading, writing and mathematics. By introducing computational thinking in language lessons e.g. through modeling we could "kill two birds with one stone": On the one hand, we can teach computational thinking and basics of computer science at all school levels even if there is no related subject, e.g. in primary schools. On the other hand, computational thinking tools like modeling can support language learning in different ways and help to train text comprehension, to acquire and elaborate vocabulary or to visualize grammar rules etc. This paper describes some creative possibilities of introducing computational thinking through modeling in language lessons in primary and secondary education. Besides best practices, it further presents some experiences and results gained from teacher observation, interviews and informal feedback from students and teachers.
机译:与计算机支持的或计算机辅助语言学习(呼叫)的领域相比,由于电子学习和技术增强的学习,计算思想和计算机科学概念开始,这已经在过去几十年中被密集地调查了,这是不正当的在语言课堂上的常见。计算思维是一个解决问题的解决过程,乍一看,与语言学习有多多多有关。然而,正如Jeannette Wing在2006年所要求的那样,应该教授阅读,写作和数学等人。通过在语言课程中引入计算思维。通过建模我们可以“用一块石头杀死两只鸟”:一方面,即使没有相关的主题,我们可以在所有学校水平中教导计算机科学的计算思维和基础知识,即,例如没有相关的主题。在小学。另一方面,建模等计算思维工具可以以不同的方式支持语言学习,并有助于培训文本理解,以获得和详细说明词汇或可视化语法规则等。本文介绍了通过语言建模引入计算思维的一些创造性可能性中小学教育的课程。除了最佳做法外,它还介绍了教师观察,访谈和学生和教师的非正式反馈中获得的一些经验和结果。

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