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Research and Teaching Design on Integrating Ideological and Political into Bayesian Formulas

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DOI: 10.23977/aduhe.2024.060409 | Downloads: 8 | Views: 138

Author(s)

Xinhong Liu 1, Yuan Feng 1, Chunxia Wu 1, Shuxia Wang 1

Affiliation(s)

1 Beijing Institute of Petrochemical Technology, Beijing, 102617, China

Corresponding Author

Yuan Feng

ABSTRACT

At the knowledge level, students master Bayesian formulas and calculations, and are able to use Bayesian formulas to calculate posterior probabilities in practical problems. At the application level, teachers abstract real-life scenarios and cultivate students' ability to establish Bayesian models, enabling them to analyze and preliminarily solve practical problems. Students distinguish between prior and posterior probabilities and understand the widespread application of Bayesian formulas. They used MATLAB mathematical software to verify the quantitative relationship between posterior probability and prior probability. At the ideological level, through the deeds of mathematician Bayes who adhered to their original intention and pursued truth, students are cultivated with a scientific spirit of fearlessness and courage to explore. Students understand the essence and preliminary classification ideas of Bayesian formulas. We use Bayesian formula to verify the process of establishing integrity in people's minds and establish the concept of integrity. We need to strengthen students' abstract thinking and rational spirit, teachers help students establish Bayesian reasoning thinking and combine theory with practice, and help students firmly establish a concept of integrity.

KEYWORDS

Course ideology, Bayesian formula, instructional design, instructional research

CITE THIS PAPER

Xinhong Liu, Yuan Feng, Chunxia Wu, Shuxia Wang, Research and Teaching Design on Integrating Ideological and Political into Bayesian Formulas. Adult and Higher Education (2024) Vol. 6: 61-68. DOI: http://dx.doi.org/10.23977/aduhe.2024.060409.

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