Factor Analysis Algorithm and Precision Teaching

DOI

10.2991/978-94-6463-040-4_121How to use a DOI?

Keywords

Factor analysis; correlation analysis; application of IBM SPSS; precision teaching

Abstract

After the talent training plan is determined, how to arrange the teaching plan, teaching plan and teaching sequence of various courses in different periods of time is a very complex mathematical programming problem of "multifactor and multi-objective". This paper describes how to use "factor analysis", "principal component analysis", and other algorithms, use IBM SPSS as the data analysis tool, and take the actual teaching data as the sample to conduct a comprehensive quantitative analysis on the students' grades of various subjects at the end of the semester, and take this as the basis to guide the process of teaching work improvement. This kind of teaching research based on advanced computing tools, scientific quantification and accurate data is a necessary measure for digitization and standardization of the current teaching reform. In this paper, the basic conditions of using a factor analysis algorithm, the process of establishing a mathematical model, and the detailed operation steps of using IBM SPSS as a data analysis tool to solve problems are explained first, and then the calculation results are analyzed. And, the characteristics of the algorithm, the practical application, and even the taboo of the application are introduced. Finally, it is also mentioned that different algorithms have different characteristics and different applications. Only by flexibly applying various algorithms to deal with different problems can we improve work efficiency. This is our basic working principle

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuxiong Chen
AU  - Jianhua Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Factor Analysis Algorithm and Precision Teaching
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 797
EP  - 803
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_121
DO  - 10.2991/978-94-6463-040-4_121
ID  - Chen2022
ER  -