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Biomedical Engineering School, Southern Medical University, Guangzhou, China
With the background of promoting the construction of new engineering disciplines and the development of artificial intelligence technology in the global wide, and in response to the current situation of the teaching system construction of artificial intelligence courses, this paper analyzes the problems in the current teaching process, such as the disconnection between teaching content and industry positions, insufficient teaching resources and low quality, and the relatively homogenized teaching implementation and evaluation methods. After findings of that combining the current needs of artificial intelligence technology positions and application development, this paper proposes a reform plan for the teaching of artificial intelligence courses. In response to the fragmentation of practical teaching cases, low market adaptability, innovatively carry out case construction for majors, students, and industries, to follow up with the rapidly evolving artificial intelligence technology and job requirements, and solve the problem of insufficient teaching content. In the implementation of teaching, student-centered, problem-driven, and project-oriented approaches are emphasized to address the issues of teaching detachment from practice and limited learning hours. The integration of engineering training objectives with teaching practice is promoted through the construction of a feedback and adjustment mechanism for case teaching quality and a multi-dimensional evaluation plan for teaching effectiveness, thereby improving course effectiveness.
Artificial Intelligence, Project Cases, Student-Centered, Problem Driven, Project Oriented Teaching Method
Yi Yang, Dekuang Yu. (2023). Research on Projects Case Teaching Mode for Artificial Intelligence. Higher Education Research, 8(6), 214-219. https://doi.org/10.11648/j.her.20230806.11
Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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