人工智能背景下的高校网络技术课程改革策略研究

Research on the Reform Strategies of Network Technology Courses in Universities under the Background of Artificial Intelligence

随着人工智能技术的快速发展和广泛应用,高校网络技术课程教学改革迫在眉睫,探讨人工智能背景下高校网络技术课程改革的策略,分析人工智能对网络技术的影响,包括自动化、智能化、网络安全等方面的挑战,提出了创新课程内容、改革教学方式、完善评价体系等高校网络技术课程改革方向。在课程内容、教学方式等方面引入人工智能辅助教学,提高教学效果和学生的学习体验,注重人工智能与网络技术的融合,培养学生的创新能力和解决问题的能力。

With the rapid development and widespread application of Artificial Intelligence(AI)technology,the reform of network technology courses in universities is urgent.This paper explores the strategies for the reform of network technology courses in universities under the background of AI,analyzes the impact of AI on network technology,including challenges in automation,intelligence,network security,etc.It proposes directions for the reform of network technology courses in universities,including innovative course content,reform of teaching methods,and improvement of evaluation systems.It introduces AI assisted teaching tools in course content and teaching methods to improve teaching effectiveness and student learning experience,emphasizes the integration of artificial intelligence and network technology,and cultivates students'innovation and problem-solving abilities.