Abstract
With the rapid development and popularization of information technology, especially the wide application of Internet technology, mobile communication technology, artificial intelligence technology, big data processing technology and intelligent education technology in the field of education, information education is becoming the main way to cultivate educational talents. This paper mainly studies the education informationization and the talent friend mode reform under the network informationization mode. In this paper, two classes of a senior high school in this city are selected as teaching experimental objects. Through statistical analysis of their results before and after the implementation of the informationized teaching mode, the effective ways to improve students’ performance under the informationized environment are discussed. According to the experimental results, this model can improve students’ academic performance, narrow the difference between students’ academic performance, stimulate students’ interest in learning, and cultivate students’ independent learning ability, so that all students can achieve development.
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Yu, L. (2022). Influence of Big Data Statistical Analysis Technology on Informational Learning Mode. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 102. Springer, Singapore. https://doi.org/10.1007/978-981-16-7466-2_12
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DOI: https://doi.org/10.1007/978-981-16-7466-2_12
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