Fabiano Fruett;Fernanda Pereira Barbosa;Samuel Cardoso Zampolli Fraga;Pedro Ivo Aragão Guimarães
{"title":"Empowering STEAM Activities With Artificial Intelligence and Open Hardware: The BitDogLab","authors":"Fabiano Fruett;Fernanda Pereira Barbosa;Samuel Cardoso Zampolli Fraga;Pedro Ivo Aragão Guimarães","doi":"10.1109/TE.2024.3377555","DOIUrl":null,"url":null,"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.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10500382/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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.