Analysis of the Application Prospects of Computer Big Data in Higher Education Curriculum Software Development

This paper explores the application prospects of computer and big data in the development of higher education curriculum software. It analyzes the current state of computer and big data in higher education, including technological applications and the state of curriculum software. The discussion focuses on the demands and challenges in developing higher education curriculum software, emphasizing the need for personalized learning and the limitations of current technologies. The paper further proposes integration paths of computer and big data, such as data collection and processing, data analysis to support educational decision-making, and personalized learning design. Finally, it analyzes the future prospects, pointing out that computer and big data will promote educational equity, enhance teaching quality, and foster lifelong learning development.

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Publication Details

Journal
Journal of Higher Education Research
Published
2024-11-18
DOI
https://doi.org/10.32629/jher.v5i5.2976
Citations
1
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
1.05
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article

Analysis of the Application Prospects of Computer Big Data in Higher Education Curriculum Software Development

Xiaoping Chen
1 citations
Journal of Higher Education Research
Big Data Technologies and Applications
1.05
article

Analysis of the Application Prospects of Computer Big Data in Higher Education Curriculum Software Development

Xiaoping Chen
article en
1 citations

Abstract

This paper explores the application prospects of computer and big data in the development of higher education curriculum software. It analyzes the current state of computer and big data in higher education, including technological applications and the state of curriculum software. The discussion focuses on the demands and challenges in developing higher education curriculum software, emphasizing the need for personalized learning and the limitations of current technologies. The paper further proposes integration paths of computer and big data, such as data collection and processing, data analysis to support educational decision-making, and personalized learning design. Finally, it analyzes the future prospects, pointing out that computer and big data will promote educational equity, enhance teaching quality, and foster lifelong learning development.

Journal of Higher Education ResearchVol. 5(5)
Nanjing University (CN)
Openalex Percentile: Top 12%
Big Data Technologies and Applications
1.05
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