利用脑电图(EEG)了解学生在基于块的编程环境中的脑力活动

Proceedings of the 2017 ACM Conference on International Computing Education Research Pub Date : 2017-08-14 DOI:10.1145/3105726.3105738

Yerika Jimenez

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引用次数: 1

摘要

基于块的编程环境，如Scratch和App Inventor，目前被全世界数百万学生使用。尽管创建基于块的编程环境是为了让学生更容易理解和可视化计算概念，但学生仍然难以理解一些基本的计算机科学(CS)概念[1]。我的研究重点是从认知角度理解学生如何在基于块的编程环境中交互和学习计算概念。特别是，我正在使用神经生理学设备，脑电图(EEG)来测量学生在编程任务期间的精神努力，即注意力和感知。

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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Towards Understanding Student's Mental Effort in Block- Based Programming Environments Using Electroencephalogram (EEG)

Block-based programming environments such as Scratch and App Inventor are currently being used by millions of students around the world. Although block-based programming environments were created to make computing concepts simpler for students to understand and visualize, students continue to struggle with understanding some basic Computer Science (CS) concepts [1]. My research focuses on understanding how students interact and learn computing concepts in block-based programming environments from a cognitive perspective. In particular, I am using neurophysiological devices, electroencephalography (EEG), to measures students' mental efforts that is attention and perception during programming tasks.

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Proceedings of the 2017 ACM Conference on International Computing Education Research

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