Evaluation on Innovation and Development of University Education Management Informatization Construction Under the Background of Big Data

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH

International Journal of Information and Communication Technology Education Pub Date : 2023-09-21 DOI:10.4018/ijicte.330588

Sisi Fan

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引用次数: 0

Abstract

The purpose of this article is to discuss the innovation and development of university education management informationization construction in the context of big data. Through a comprehensive comparison of innovative and traditional university education management information systems, it reveals the advantages of the innovative model in terms of flexibility, efficiency, data-driven decision-making, and personalized learning. The questionnaire survey and comparative analysis reveal the positive impact of big data on education management. However, it also reveals the limitations of the innovative informationized education management model, which requires more technical input and security. Finally, future research suggestions such as integrating data from multiple sources, promoting personalized education, and incorporating artificial intelligence are proposed to promote the innovation and development of information technology construction for education management in universities. This study provides insights and guidance for university administrators and researchers.

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大数据背景下高校教育管理信息化建设创新与发展评价

本文旨在探讨大数据背景下高校教育管理信息化建设的创新与发展。通过对创新模式与传统高校教育管理信息系统的综合比较，揭示了创新模式在灵活性、高效性、数据驱动决策、个性化学习等方面的优势。问卷调查和对比分析揭示了大数据对教育管理的积极影响。然而，这也暴露了创新的信息化教育管理模式的局限性，需要更多的技术投入和安全保障。最后，提出整合多源数据、推进个性化教育、融入人工智能等未来研究建议，以促进高校教育管理信息化建设的创新与发展。本研究对高校管理者和研究者具有一定的启示和指导意义。

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

International Journal of Information and Communication Technology Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

4.20

自引率

10.00%

发文量

期刊介绍： IJICTE publishes contributions from all disciplines of information technology education. In particular, the journal supports multidisciplinary research in the following areas: •Acceptable use policies and fair use laws •Administrative applications of information technology education •Corporate information technology training •Data-driven decision making and strategic technology planning •Educational/ training software evaluation •Effective planning, marketing, management and leadership of technology education •Impact of technology in society and related equity issues