Leveraging the Synergy of IPv6, Generative AI, and Web Engineering to Create a Big Data-Driven Education Platform

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Journal of Web Engineering Pub Date : 2024-03-01 DOI:10.13052/jwe1540-9589.2321

Gao Yongli;Dong Qi;Chen Zhipeng

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引用次数: 0

Abstract

The rapid advancement of network technology in China has significantly accelerated the implementation of information technology in higher education. Through the utilization of computer technology, multimedia technology, big data technology, artificial intelligence technology, and network communication technology, the integration of these technologies in university teaching has become widespread. This paper presents an analysis and discussion on the utilization of the latest IPv6 network transmission protocol technology to enhance the application of data collection in university education, with a specific focus on gathering information related to university faculties. By leveraging web engineering and multimedia technology as fundamental components, the network facilitates the sharing of educational resources among students, thereby enabling the reform of management approaches, fostering educational progress in China, and establishing a comprehensive big data-driven education platform specifically tailored to colleges and universities. Additionally, the incorporation of big data visualization and analysis tools allows for easy retrieval of existing university educational information, facilitates the creation of data charts, and expedites the utilization of data for its inherent value. Finally, the proposed approach employs generative AI to collect and analyze feedback from students and educators, followed by the application of web engineering techniques to continuously enhance the online education platform based on this feedback.

查看原文本刊更多论文

利用 IPv6、生成式人工智能和网络工程的协同作用创建大数据驱动的教育平台

中国网络技术的飞速发展大大加快了信息技术在高等教育中的应用。通过对计算机技术、多媒体技术、大数据技术、人工智能技术、网络通信技术等的利用，这些技术在高校教学中的融合已经十分广泛。本文就利用最新的 IPv6 网络传输协议技术，加强数据收集在高校教育中的应用进行了分析和探讨，尤其侧重于收集高校院系的相关信息。该网络以网络工程和多媒体技术为基础，促进了学生之间的教育资源共享，从而推动了管理方式的改革，促进了中国教育的进步，建立了一个专门针对高校的大数据驱动的综合教育平台。此外，结合大数据可视化分析工具，可以方便地检索现有的高校教育信息，促进数据图表的创建，加快数据内在价值的利用。最后，建议的方法采用生成式人工智能来收集和分析来自学生和教育工作者的反馈，然后应用网络工程技术，根据这些反馈不断改进在线教育平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Web Engineering 工程技术-计算机：理论方法

CiteScore

1.80

自引率

12.50%

发文量

审稿时长

9 months

期刊介绍： The World Wide Web and its associated technologies have become a major implementation and delivery platform for a large variety of applications, ranging from simple institutional information Web sites to sophisticated supply-chain management systems, financial applications, e-government, distance learning, and entertainment, among others. Such applications, in addition to their intrinsic functionality, also exhibit the more complex behavior of distributed applications.