The Student-Centered STEM Learning Model Based on Artificial Intelligence Project: A Case Study on Intelligent Car

Abstract

Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their innovation ability is a key issue. This research constructs a novel Student-Centered STEM Learning Model (SC-STEM-LM), compensating for engineering students' lack of innovative practice in high education. First, students use real projects as the background to find technical literature and make learning plans. Then, they carry out four STEM learning activities at the same time in cooperation. Finally, the students cultivate their innovation ability by improving the performance of the project. Furthermore, taking the intelligent car target tracking system as an example, we voluntarily recruit ten students with similar abilities from the school of computer science and randomly divide them into two groups (experimental group and control group) to verify the learning effect. In addition, to objectively evaluate the actual effect of the SCSTEM-LM, we also propose a new weighted multi-evaluation algorithm. The results show that the score of the experimental group is 82.84, which is 8.86 higher than the control group.