Research on the Teaching Reform Path of Professional Basic Courses in Private Universities from the Perspective of AI Empowerment

Qiuxiang Wang, Fuli Wang, Haiying Ji

Abstract


To address the existing problems in the teaching of Engineering Drawing in private universities, and to promote the digital transformation of education and the cultivation of application-oriented talents, this paper conducts a study on the AI-empowered teaching reform of this course. Firstly, it analyzes the current teaching situation, identifies the core problems in four aspects: students’ learning needs, teaching content and methods, faculty and resources, and assessment and competency cultivation, and explores the demand for AI empowerment at both the teacher-student and course levels. Furthermore, it puts forward four major reform objectives: improving teaching quality and efficiency, realizing personalized and precise teaching, innovating teaching models and evaluation systems, and strengthening the cultivation of students’ abilities and comprehensive qualities. On this basis, a “five-in-one” AI-empowered reform path is constructed, including the optimization of teaching content, the innovation of teaching methods, the integration of teaching resources, the reform of assessment and evaluation, and the construction of a teaching support system. The research on AI-empowered teaching reform of Engineering Drawing can provide practical experience for improving teaching quality and enhancing the adaptability of application-oriented talent training.


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DOI: https://doi.org/10.22158/grhe.v9n1p132

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