This study takes the classroom teaching of the "Face Recognition Access Control System" carried out by the Artificial Intelligence Education Base in Linping District as an example. Through the real situation, supported by the AI algorithm platform, in the program design process of "clarification of problems - analysis of problems - design scheme - communication and demonstration - scheme optimization" and in the production experience of "model design - material collection - model construction - function realization - sharing and communication", PBL-based artificial intelligence maker teaching activities are carried out to help students actively explore the knowledge of face recognition technology from real situations, build the concept of face recognition technology, and gradually cultivate students’ Engineering thinking, Creative thinking, Collaborative ability and Complex problem-solving ability, and promote the development of students' artificial intelligence literacy. The research summary proposes a PBL-based maker teaching model supported by the AI algorithm platform, in order to provide reference and reference for front-line teachers to carry out similar research.
CITATION STYLE
Weichun, S., Mingwang, X., & WeiYinghua. (2022). Research on PBL-Based Maker Teaching Mode Supported by AI Algorithm Platform——Take the teaching of “Face Recognition Access Control System” as an example. In Lecture Notes in Educational Technology (pp. 127–139). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-5967-7_15
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