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作 者:余鹰[1] YU Ying(School of Software,East China Jiaotong University,Nanchang 330013,Jiangxi,China)
出 处:《景德镇学院学报》2024年第4期76-81,共6页Journal of JingDeZhen University
基 金:江西省教育科学“十三五”规划课题(19YB055)。
摘 要:随着人工智能技术的快速发展,传统的计算机网络课程教学模式正面临前所未有的挑战和机遇。本文深入探讨了如何在人工智能(AI)背景下,通过引入个性化教学、实时反馈、虚拟实验室以及多样化评估等智能化创新手段,提升计算机网络课程的教学效果和学生的学习体验。研究结果表明,将人工智能技术融入课程教学,能够在提升教学成效、激发学生学习热情和实现个性化教育等方面发挥显著作用。总之,本研究不仅为计算机网络课程的教学革新提供了一定的理论支撑和实践指导,而且为培养符合未来社会需求的网络技术人才探索了新的途径和方法。With the rapid development of artificial intelligence(AI),the traditional teaching models for computer network courses are facing unprecedented challenges and opportunities.This paper deeply explores how to improve the teaching effectiveness of computer network courses and enhance students'learning experience through intelligent innovative means such as personalized teaching,real-time feedback,virtual laboratories,and diversified evaluation in the context of artificial intelligence(AI).The research results show that integrating artificial intelligence technology into course teaching can significantly improve teaching effectiveness,stimulate students'enthusiasm for learning,and achieve personalized education.In summary,this study not only provides solid theoretical support and practical guidance for the innovative teaching of computer network courses,but also explores new ways and methods for cultivating network technical talents that meet the needs of future society.
分 类 号:G642[文化科学—高等教育学]
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