A study on the literary elements of children’s literature classics and their influence on reading experience based on principal component analysis
Published Online: Oct 23, 2023
Received: Jan 13, 2023
Accepted: May 03, 2023
DOI: https://doi.org/10.2478/amns.2023.2.00741
Keywords
© 2023 Yu Fu, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The dimensional statistics approach of principal component analysis is utilized in this paper to transform a set of variable observations using orthogonal transformation to convert the data to a new coordinate. The original observations data are summed linearly by selecting appropriate values through cross-validation and calculating the spatial data of works with literary elements. Determine a sufficient number of basis functions selected mainly based on the fluctuation of time variables. The number of students who believe that reading classic works enhances scientific literacy was 92.56%, with the highest contribution of linguistic and literary elements found to be 92.56%. The uniqueness and richness of children's literature can enhance character-building and overall core literacy of students, as indicated by this.