Machine Learning Based Analysis of the Curriculum Standards and Textbooks of Middle School Biology Teaching: Case of “Curriculum Ideological and Political”

DOI

10.2991/978-94-6463-172-2_32How to use a DOI?

Keywords

biology curriculum standard; Textbook analysis; Curriculum ideological and political; Machine learning; Random forest; classification

Abstract

Taking the course of biology curriculum standard and textbook analysis in middle school as an example, this paper introduces the example of introducing the dialectical relationship principle of practice and cognition into the teaching process of the first and second chapters of this course. This paper also aims to introduce similar ideological and political elements into the teaching of biology courses. This paper proposed a research method fused with machine learning. Students’ feedback analysis has been performed using the machine learning classifier. Performance of the proposed method is analyzed from confusion matrix measures of Random Forest (RF) model. A detailed qualitative analysis of chapters 1 & 2 from biology textbooks has been presented with several advantages of the curriculum standards and textbook materials. The proposed RF model show 75% and 66.66% accuracy and precision, respectively. The proposed application of RF model is better than the state of the art proposed approaches. The experimental results suggest that the applications of machine learning with the teaching of biology textbooks, art of teaching and feedback from students may be undertaken in future works.

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  - Jiazhong Liu
AU  - Hongmei Li
AU  - Huixian Zhu
AU  - Huirong Li
AU  - Xin Zhang
AU  - Guofei Zhou
AU  - Dengji Lou
AU  - Yan Chen
PY  - 2023
DA  - 2023/06/30
TI  - Machine Learning Based Analysis of the Curriculum Standards and Textbooks of Middle School Biology Teaching: Case of “Curriculum Ideological and Political”
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 292
EP  - 303
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_32
DO  - 10.2991/978-94-6463-172-2_32
ID  - Liu2023
ER  -