Promoting computational thinking through project-based learning.

Namsoo Shin, Jonathan Bowers, Joseph Krajcik, Daniel Damelin
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Abstract

This paper introduces project-based learning (PBL) features for developing technological, curricular, and pedagogical supports to engage students in computational thinking (CT) through modeling. CT is recognized as the collection of approaches that  involve people in computational problem solving. CT supports students in deconstructing and reformulating a phenomenon such that it can be resolved using an information-processing agent (human or machine) to reach a scientifically appropriate explanation of a phenomenon. PBL allows students to learn by doing, to apply ideas, figure out how phenomena occur and solve challenging, compelling and complex problems. In doing so, students  take part in authentic science practices similar to those of professionals in science or engineering, such as computational thinking. This paper includes 1) CT and its associated aspects, 2) The foundation of PBL, 3) PBL design features to support CT through modeling, and 4) a curriculum example and associated student models to illustrate how particular design features can be used for developing high school physical science materials, such as an evaporative cooling unit to promote the teaching and learning of CT.

通过基于项目的学习促进计算思维
本文介绍了基于项目的学习(PBL)的特点,以开发技术、课程和教学支持,让学生通过建模参与计算思维(CT)。计算思维被认为是让人们参与计算问题解决的一系列方法。计算思维支持学生对现象进行解构和重新表述,以便使用信息处理代理(人类或机器)来解决这一问题,从而对现象做出科学合理的解释。PBL 让学生在实践中学习,应用各种想法,弄清各种现象是如何发生的,并解决具有 挑战性、引人注目和复杂的问题。在此过程中,学生参与了与科学或工程专业人员类似的真实科学实践,如计算思维。本文包括:1)计算思维及其相关方面;2)PBL 的基础;3)通过建模支持计算思维的 PBL 设计特点;4)一个课程示例和相关的学生模型,以说明如何利用特定的设计特点来开发高中物理科学材料,如蒸发冷却装置,以促进计算思维的教学和学习。
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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