Empowering STEAM Activities With Artificial Intelligence and Open Hardware: The BitDogLab

IF 2.1 2区工程技术 Q2 EDUCATION, SCIENTIFIC DISCIPLINES

IEEE Transactions on Education Pub Date : 2024-04-15 DOI:10.1109/TE.2024.3377555

Fabiano Fruett;Fernanda Pereira Barbosa;Samuel Cardoso Zampolli Fraga;Pedro Ivo Aragão Guimarães

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引用次数: 0

Abstract

Open-source hardware and software platforms have played an important role in democratizing access to technology and education in computer science and engineering. Recent advancements in tools, such as KiCad, MicroPython, and Thonny, integrated development environment potentially accelerate low-budget educational applications, providing a smooth and consistent learning curve for users. The BitDogLab, utilizing these platforms, is designed and developed for Science, Technology, Engineering, Arts, and Mathematics activities based on the Raspberry Pi Pico Board, featuring artificial intelligence (AI)-supported programming via the GPT model. BitDogLab is an open-source hardware solution with a flexible design for continuous expansion in both software and hardware areas. Its functionality, based on open-source code, can be enhanced by integrating various software resources. Additionally, BitDogLab’s adaptability to sophisticated hardware like robotic systems or advanced sensors expands its educational applications. An evaluation of BitDogLab, conducted through a hands-on workshop at the Latin America Open Technology Conference—Latinoware 2023, revealed unanimous interest among 36 respondents, mainly for teaching programming (58%), and valuing its low cost, diverse components, and ease of AI-assisted programming. 75% of respondents expressed a strong desire to use BitDogLab, despite 19% preferring familiar boards like Arduino or Micro:bit. The project’s open distribution encourages community contributions, promoting collaborative learning and innovation from children to preuniversity students.

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利用人工智能和开放式硬件增强 STEAM 活动的能力：比特狗实验室

开源硬件和软件平台在计算机科学与工程领域的技术和教育民主化方面发挥了重要作用。KiCad、MicroPython 和 Thonny 等工具的最新进展，以及集成开发环境可能加速低成本教育应用的发展，为用户提供平滑、一致的学习曲线。BitDogLab 利用这些平台，以 Raspberry Pi Pico 板为基础，为科学、技术、工程、艺术和数学活动而设计和开发，其特点是通过 GPT 模型进行人工智能（AI）支持的编程。BitDogLab 是一种开源硬件解决方案，设计灵活，可在软件和硬件领域不断扩展。它的功能基于开放源代码，可以通过整合各种软件资源得到增强。此外，BitDogLab 对机器人系统或先进传感器等复杂硬件的适应性也扩大了其在教育领域的应用。在拉丁美洲开放技术大会（Latinoware 2023）上举办的实践研讨会对 BitDogLab 进行了评估，结果显示 36 名受访者对其一致感兴趣，主要用于编程教学（58%），并对其低成本、多样化组件和人工智能辅助编程的便捷性给予了高度评价。75%的受访者表达了使用 BitDogLab 的强烈愿望，尽管有 19% 的受访者更喜欢 Arduino 或 Micro:bit 等熟悉的板卡。该项目的开放式发布鼓励社区贡献，促进了从儿童到大学预科学生的协作学习和创新。

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

IEEE Transactions on Education 工程技术-工程：电子与电气

CiteScore

5.80

自引率

7.70%

发文量

审稿时长

1 months

期刊介绍： The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.