用 ChatGPT 搭建计算思维的支架

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2024-04-24 DOI:10.1109/TLT.2024.3392896
Jian Liao;Linrong Zhong;Longting Zhe;Handan Xu;Ming Liu;Tao Xie
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引用次数: 0

摘要

ChatGPT 在教育领域,尤其是编程教育领域受到了广泛关注,因为它具有自动代码生成、程序修复和评分的功能。然而,很少有实证研究探讨如何利用 ChatGPT 定制学习系统,为学生的计算思维提供支架。因此,本文按照计算思维和支架的理论框架,提出了使用 ChatGPT 的智能编程支架系统。研究结果表明,大多数学生对所提出的系统持积极态度,该系统能有效提高学生的计算思维能力,但不能有效提高学生的问题解决能力。因此,我们讨论了更多的支架策略,旨在提高学生的计算思维,尤其是解决问题的能力。本研究的结果有望指导未来嵌入智能学习系统的生成式人工智能工具的设计,以培养学生的计算思维和编程学习能力。
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Scaffolding Computational Thinking With ChatGPT
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students’ computational thinking. Therefore, this article proposes an intelligent programming scaffolding system using ChatGPT following the theoretical framework of computational thinking and scaffolding. A mixed-method study was conducted to investigate the affordance of the scaffolding system using ChatGPT, and the findings show that most students had positive attitudes about the proposed system, and it was effective in improving their computational thinking generally but not their problem-solving skills. Therefore, more scaffolding strategies are discussed with the aim of improving student computational thinking, especially regarding problem-solving skills. The findings of this study are expected to guide future designs of generative artificial intelligence tools embedded in intelligent learning systems to foster students’ computational thinking and programming learning.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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