Application of Big Data in the Online Resource Construction of Course Teaching

Over the past decade, the integration of big data into the higher education system has revolutionized the way teaching resources are used. Educational institutions are increasingly leveraging data-driven approaches to improve the teaching and learning experience. This paper discussed the application of big data in the construction of online resources. By analyzing the current situation and challenges faced by students under big data technology, this paper put forward some strategies to improve the quality and effectiveness of online education resources construction. This paper discussed in detail how to collect and analyze data, how to integrate personalized resources, how to establish feedback mechanism and how to help students to carry out collaborative learning. The implementation steps of strategy and method in course signal detection and processing were given. The paper also discussed the potential benefits of big data in personalized learning, resource optimization, and educational evaluation.

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Publication Details

Journal
Journal of big data and computing.
Published
2024-12-01
DOI
https://doi.org/10.62517/jbdc.202401422
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Big Data in the Online Resource Construction of Course Teaching

Yuanping Wang, Jun Mou, Xinzhe Wang, Yifan Cui
Journal of big data and computing.
Web Data Mining and Analysis
article

Application of Big Data in the Online Resource Construction of Course Teaching

Yuanping Wang, Jun Mou, Xinzhe Wang, Yifan Cui
article en

Abstract

Over the past decade, the integration of big data into the higher education system has revolutionized the way teaching resources are used. Educational institutions are increasingly leveraging data-driven approaches to improve the teaching and learning experience. This paper discussed the application of big data in the construction of online resources. By analyzing the current situation and challenges faced by students under big data technology, this paper put forward some strategies to improve the quality and effectiveness of online education resources construction. This paper discussed in detail how to collect and analyze data, how to integrate personalized resources, how to establish feedback mechanism and how to help students to carry out collaborative learning. The implementation steps of strategy and method in course signal detection and processing were given. The paper also discussed the potential benefits of big data in personalized learning, resource optimization, and educational evaluation.

Journal of big data and computing.Vol. 2(4)
Dalian Polytechnic University (CN)
Openalex Percentile: Top 52%
Web Data Mining and Analysis
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