基于人工智能背景下高职院校教学质量提升新探
杨俊
(淮北理工学院，淮北:235000)
[摘要]:本研究旨在探讨人工智能背景下高职院校教学质量提升的有效路径。通过文献研究法梳理人工智能在教育领域的应用及高职院校教学质量相关研究，运用案例分析法剖析具体实践案例。研究发现，人工智能为高职院校教学质量提升带来个性化教学、精准评估、丰富实践教学等机遇;但同时也面临技术成本高、教师适应困难、数据安全与隐私等挑战。针对这些挑战，提出合理规划技术投人、加强教师培训、建立数据安全保障机制等应对策略，以期为高职院校在人工智能时代提升教学质量提供理论与实践参考。
[关键词]:人工智能;高职院校;教学质量;提升策略;
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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