Treffer: Empowering STEAM Activities with Artificial Intelligence and Open Hardware: The BitDogLab

Title:
Empowering STEAM Activities with Artificial Intelligence and Open Hardware: The BitDogLab
Language:
English
Authors:
Fabiano Fruett (ORCID 0000-0002-0676-6686), Fernanda Pereira Barbosa, Samuel Cardoso Zampolli Fraga, Pedro Ivo Aragao Guimaraes (ORCID 0009-0007-7764-7864)
Source:
IEEE Transactions on Education. 2024 67(3):462-471.
Availability:
Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=13
Peer Reviewed:
Y
Page Count:
10
Publication Date:
2024
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Evaluative
Geographic Terms:
DOI:
10.1109/TE.2024.3377555
ISSN:
0018-9359
1557-9638
Entry Date:
2024
Accession Number:
EJ1426837
Database:
ERIC

Weitere Informationen

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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