Part of the book series:Communications in Computer and Information Science ((CCIS,volume 2024))
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Abstract
Artificial intelligence (AI) is advancing rapidly and finding its way into various industries. Universities are placing a high priority on incorporating AI into professional education. However, for students who are not majoring in AI, applying AI technology to projects can be challenging. To foster the development of application-oriented talents in the AI era, this article presents an illustrative example of project-based learning that focuses on the use of AI tools for assisted education in the context of blind navigation vehicles. The project specifically concentrates on core AI applications, such as pedestrian detection using Raspberry Pi and line tracking for blind navigation. Voice broadcasting is employed to facilitate interaction with visually impaired individuals. The project is carried out in teams, with an emphasis on utilizing user-friendly AI tools for project-based education and practical experimentation. By integrating theory and practice, students have the opportunity to enhance their practical skills, deepen their understanding of AI, strengthen teamwork, improve communication skills, and foster innovative thinking.
This work is supported by National Undergraduate Innovation and Entrepreneurship Training Program (Grant No. 202311057011), Zhejiang University of Science and Technology (ZUST) Teacher’s Professional Growth Community Project 2023, ZUST Top Undergraduate Courses Development Project 2022-k4, 2020 Zhejiang Provincial-level Top Undergraduate Courses (Zhejiang Provincial Department of Education General Office Notice (2021) No. 195).
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School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China
Li Yu, Ming-Wei Wu, Gang Cen, Yong-Xin Xi, Xin Yan & Tian-Hao Qiu
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Correspondence toMing-Wei Wu orYong-Xin Xi.
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Xiamen University, Xiamen, China
Wenxing Hong
Xiamen University Malaysia, Sepang, Malaysia
Geetha Kanaparan
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Yu, L., Wu, MW., Cen, G., Xi, YX., Yan, X., Qiu, TH. (2024). AI-Assisted Project-Based Learning and Exploration in the Field of Electronic Information Engineering Majors. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Teaching and Curriculum. ICCSE 2023. Communications in Computer and Information Science, vol 2024. Springer, Singapore. https://doi.org/10.1007/978-981-97-0791-1_24
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