Advancing young students’ computational thinking: An investigation of structured curriculum in early years primary schooling

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-04-08 DOI:10.1016/j.compedu.2024.105045
Garry Falloon
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Abstract

In recent years, the development of computational thinking (CT) has become integral to many school curricula worldwide. This has been associated with calls for computational thinking to be considered a ‘21St Century’ competency, valuable to all students as a transferable process for solving problems and building understanding of human behaviour and systems. However, while computational thinking is a focus of most secondary school computer science curricula, proponents such as Jeanette Wing argue its relevance for younger students, indicating more work must be done investigating its development in early years' education. This study used a structured, problem-based curriculum supported by guided inquiry pedagogy, to explore 6 year old students' learning of basic computational thinking concepts and practices while coding programmable floor robots (Blue-bots and an iPad app). Results indicated improvement across the seven lessons in students' sequencing/algorithm authoring, error correction, and pattern recognition. Furthermore, they revealed evidence of higher order thinking such as identifying patterns in code, and how these can be transferred to help solve problems of different designs. While currently play-based approaches are used to introduce computational thinking concepts and practices in early years' education, results from this study suggest that more structured, problem-based methods should be seriously considered. Results challenge commonly understood developmental theories about what young children can and can't do, contextualised within the field of computer science, and hold implications for early years' teachers' professional knowledge and pedagogy if they are to promote their students' learning in this increasingly important area. Given rapid technological advancements such as artificial intelligence (AI) and increasingly earlier exposure of young children to digitally-mediated information, this study provides support for the earlier and more systematic introduction of basic digital literacy knowledge and skills in early years' education.

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促进青少年学生的计算思维:小学低年级结构化课程调查
近年来,计算思维(CT)的发展已成为全球许多学校课程不可或缺的一部分。这与将计算思维视为 "21 世纪 "能力的呼吁有关,计算思维对所有学生都很有价值,是解决问题和建立对人类行为与系统理解的可迁移过程。然而,虽然计算思维是大多数中学计算机科学课程的重点,但珍妮特-荣(Jeanette Wing)等支持者认为,计算思维与低年级学生息息相关,这表明必须开展更多工作,调查计算思维在低年级教育中的发展情况。本研究采用了结构化、基于问题的课程,并辅以引导式探究教学法,以探索 6 岁学生在对可编程落地机器人(Blue-bots 和 iPad 应用程序)进行编码时,对基本计算思维概念和实践的学习情况。结果表明,在七节课中,学生在排序/算法编写、纠错和模式识别方面都有所提高。此外,他们还发现了高阶思维的证据,如识别代码中的模式,以及如何将这些模式用于帮助解决不同设计的问题。虽然目前在幼儿教育中采用以游戏为基础的方法来介绍计算思维的概念和实践,但本研究的结果表明,应认真考虑采用更有条理的、以问题为基础的方法。研究结果挑战了人们通常理解的关于幼儿能做什么和不能做什么的发展理论,以计算机科学领域为背景,对幼儿教师的专业知识和教学法产生了影响,如果他们想促进学生在这一日益重要的领域的学习的话。鉴于人工智能(AI)等技术的飞速发展,以及幼儿越来越早地接触以数字为媒介的信息,本研究为在幼儿教育中更早和更系统地引入基本的数字扫盲知识和技能提供了支持。
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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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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