Practical research on artificial intelligence empowering computer teaching
Fentian Li
The Tourism College of Changchun University
DOI: https://doi.org/10.59429/esta.v13i3.15559
Keywords: artificial intelligence; computer teaching; teaching reform; personalized teaching; practical empowerment
Abstract
With the rapid iteration of artificial intelligence technology, the digital transformation of education has entered a new stage, providing core technical support for the reform of traditional discipline teaching. As a core basic discipline in the digital and intelligent era, computer science integrates theory, practice and application. The traditional teaching mode has many pain points such as insufficient personalized teaching, single practical scenarios and solidified evaluation system. Based on the current situation of computer teaching, this paper explores the internal logic of the in-depth integration of artificial intelligence and computer teaching. From four dimensions of teaching resource reconstruction, teaching mode innovation, practical teaching upgrading and evaluation system optimization, it explores the practical paths of AI empowering computer teaching. Combined with specific teaching practice cases, this paper analyzes the application effects, sorts out the existing problems in the current integration process, and puts forward targeted optimization strategies. The research aims to promote the transformation of computer teaching from traditional one-way indoctrination to intelligent, personalized and precise teaching, and comprehensively improve the teaching quality and talent training efficiency of computer majors.
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