Exploration and Research on University Machine Learning Courses in the Context of the Requirements of New Productive Forces

Abstract

Abstract: This paper explores the machine learning curriculum system under the background of new quality productive forces, focusing on the necessity of the course in fostering innovative talent in universities, instructional design, and practical teaching evaluation. The importance of machine learning in cultivating innovative talent in the new era has been clearly defined. An innovative training teaching plan has been devised, additionally, a teaching evaluation scheme guided by competency development has been investigated to strengthen the construction of the educational system for cultivating innovative talent in line with the requirements of new productive forces.

Key words: New quality productive forces, Innovative talent, Industry-academia integration, Machine learning, Course teaching, Personnel training

CLC Number:

JIAO Wenhua, LI Lijuan, ZHANG Yinqiang, MEI Xue, WANG Li, LIU Peng. Exploration and Research on University Machine Learning Courses in the Context of the Requirements of New Productive Forces[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2024, 7(17): 51-53.

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Exploration and Research on University Machine Learning Courses in the Context of the Requirements of New Productive Forces

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