I. i since february 2017, the ministry of education of china has actively promoted development of emerging engineering education [1]. unlike traditional engineering majors, new engineering majors focus mainly on internet and industrial intelligence, and cultivate innovative and diversified engineering skills. machine vision is an important branch of artificial intelligence (ai). a convolutional neural network (cnn) is a typical deep-learning technology applied in machine vision [2]. cnns have been widely used for image recognition and object detection [3], [4]. in references [5], [6], deep learning and raspberry pi were applied to the internet of things (iot). experiment teaching effectively unifies theory and practice. exploratory experiment teaching effectively fused research into course teaching in reference. practical machine vision projects can stimulate student interest in learning and broaden application of deep-learning in computer vision [7]. the project-based learning (pbl) approach is an active, student-centered, and problem-centered small-group method that encourages independent thinking and creativity

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  • who: -Course construction and colleagues from the Reference [8] shared the learning ecosystem of a projectbased embedded systems course, identifying course elements that support self-directed learning and how assignments guide students toward becoming adaptive expertsIn references [9], it introduced PBL features for developing technological, curricular, and pedagogical supports to engage students in computational thinking through modeling. PBL uses professional knowledge in the context of problem-solving to develop innovation and creative thinking [10]. Reference [11] discussed PBL approach for improving the engineering application and innovative abilities of students. PBL teaching approach has been widely used in . . .

     

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