Abstract
In the digital age, in order to meet the talent needs of enterprises in the digital age in a timely manner, it is necessary to strengthen the training of talents, reform professional teaching, and make talents in line with social development and truly keep pace with the times. The study of refined management of classroom teaching, that is, through the study of relevant elements and links of the classroom teaching process, seek effective strategies to improve the quality of classroom teaching, in line with the new directions and new growth points in the current curriculum and teaching theory research. The purpose of this article is to study the refined teaching mode of courses based on the digital intelligent platform. This article mainly uses a controlled experiment method to conduct a questionnaire survey of software engineering students in a university in this province. The results show that after a year of refined teaching mode, the experimental class has significantly improved performance compared with the control class. In the post-test (X2), the average score of the experimental class has exceeded 80 points, reaching 82.67 points, which is 5 points more than the control class, and the teaching effect is obvious.
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Qin, F., Zeng, W., Yu, L., Li, L., Tao, X. (2022). Refined Teaching Mode of Courses Based on Digital Intelligent Platform. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_80
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DOI: https://doi.org/10.1007/978-3-030-89508-2_80
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