A New Exploration of Improving Teaching Quality in Higher
Vocational Colleges under the Background of Artificial Intelligence
Yang jun
(Huaibei Institute of Technology.huaibei:235000 )
[Abstract]: This rescarch aims to cxplore the effective ways to improve the teaching quality in higher vocational collegesunder the background of arificial intelligence. Through the literature rescarch method, it combs the application of arifcialinteligence in the field of education and the related research on the teaching quality of higher vocational colleges, and uses thecase analysis method to analyze specific practical cases. The research finds that artificial inteligence brings opportunities such aspersonalized teaching, precise evaluation, and enriched practical teaching for the improvement of teaching quality in highervocational colleges; but at the same time, it aso fices challenges such as high cost of technology, difficulties for teachers to adapt.and data security and privacy. In response to these chillenges, counterncasures such as reasonble planning of technologynvestment, strengthening teacher training, and etablishing data security guarantee mechanisms are proposed, in order to providetheoretical and practical references for higher vocational colleges to improve teaching quality in the era of arificial intelligence.
[Keyword]: Artificial intelligence; Higher vocational colleges; Teaching quality; Improvement strategies
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