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大数据和人工智能背景下计算机科学与技术专业的转型发展

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随着大数据和人工智能技术的迅猛发展,计算机科学与技术专业正面临着前所未有的转型机遇与挑战.该文探讨这一背景下专业教育的转型策略与发展路径.首先,概述了大数据与人工智能技术的发展历程及其对现代社会的深远影响.其次,分析了计算机科学与技术专业在传统教育模式下所面临的局限性.并在此基础上,提出了一系列转型策略,包括课程设置的改革、教学方法的创新和加强实践教学,以适应新时代对计算机专业人才的要求.最后,探讨了教育模式和教学方法的变革,如翻转课堂、跨学科教育模式,这些变革对于提高教育质量和培养学生创新能力具有重要意义.
The Transformation and Development of Computer Science and Technology under the Background of Big Data and Artificial Intelligence
With the rapid development of big data and artificial intelligence technology,computer science and technology majors are facing unprecedented opportunities and challenges for transformation.This article explores the transformation strategies and development paths of professional education in this context.Firstly,the development history of big data and artificial intelligence technology,as well as their profound impact on modern society,were outlined.Secondly,the limitations faced by computer science and technology majors under traditional education models were analyzed.On this basis,a series of transformation strategies were proposed,including curriculum reform,innovative teaching methods,and strengthening practical teaching,to meet the requirements of the new era for computer professionals.Finally,the changes in educational models and teaching methods,such as flipped classrooms and interdisciplinary education models,were discussed.These changes are of great significance for improving the quality of education and cultivating students'innovative abilities.

big dataartificial intelligencecomputer Science and technologyprofessional transformationreform in education

夏商晋

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益阳开放大学,湖南 益阳 413002

大数据 人工智能 计算机科学与技术 专业转型 教育改革

2024

数字通信世界
电子工业出版社

数字通信世界

影响因子:0.162
ISSN:1672-7274
年,卷(期):2024.(9)
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