Evolution of Machine Learning Course and Cultivation of Engineering Practice Ability Guided by “Project Driven+Discipline Integration” in the Era of Artificial Intelligence

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Authors: Xiaozhe Yang, Huiting Lu
Cited by: 0

Abstract

In the current era of artificial intelligence, the development of AI technology is leading humanity into a new round of industrial revolution. To actively respond to the national education strategy and cultivate composite talents of “artificial intelligence+X”, a teaching reform of “project driven+subject integration” has been carried out for the “Machine Learning” course, cultivating the engineering practice ability of talents in related majors. Through project driven teaching, practical engineering cases are used for teaching analysis, and under the guidance of subject integration, multiple technologies of artificial intelligence are integrated into the teaching of the “Machine Learning” course, enabling students to use interdisciplinary knowledge to solve engineering problems, improve their engineering modeling thinking ability, cultivate innovative thinking, stimulate their artificial intelligence awareness and conception, improve their research and design ability, cultivate their professional ethics and moral character, and achieve healthy growth.

Fields of Study & Subjects

Problem and Project Based Learning Engineering Education and Pedagogy Engineering Education and Curriculum Development

Publication details

Journal / source
Advances in transdisciplinary engineering
Publication date
14 January 2026
Document type
Book chapter