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Mathematical Statistics and Big Data Analysis on Intelligent Teaching Evaluation Model

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DOI: 10.23977/aduhe.2023.050420 | Downloads: 17 | Views: 509

Author(s)

Xiaobo Wen 1

Affiliation(s)

1 Sichuan Minzu College, Kangding, China

Corresponding Author

Xiaobo Wen

ABSTRACT

The advent of the era of big data has had a profound impact on teaching evaluation. With the help of statistical knowledge, this paper starts with data preprocessing such as trimmed mean and score standardization, and further discusses the application of big data analysis, data consistency and correlation, reliability and validity in teaching evaluation. Based on mathematical statistics and big data analysis, a systematic intelligent teaching evaluation model is constructed.

KEYWORDS

Trimmed mean; teaching evaluation; big data analysis; reliability and validity analysis; factor analysis

CITE THIS PAPER

Xiaobo Wen, Mathematical Statistics and Big Data Analysis on Intelligent Teaching Evaluation Model. Adult and Higher Education (2023) Vol. 5: 106-114. DOI: http://dx.doi.org/10.23977/aduhe.2023.050420.

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