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

DOI: https://doi.org/10.62517/jbdc.202401422

Author(s)

Yuanhui Cui*, Jun Mou, Yuanping Wang, Xinzhe Wang

Affiliation(s)

School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China *Corresponding Author.

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.

Keywords

Big Data; Online Resource Construction; Course Teaching; Strategy

References

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