The Effect of Teaching a Mathematics Teaching Theory Course Based on Deep Learning to Enhance Mathematics Teaching Competency for Student Teachers at Zhoukou Normal University
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Resumo
Background and aim: With the development and progress of the times, China's basic education has higher and higher requirements for teachers' competency. As a normal university that trains basic education teachers, the traditional teaching model can no longer meet the requirements of training high-quality student teachers. The aims of this study were: 1) to compare student teachers' mathematics teaching competency after learning through Mathematics Teaching Theory course based on Deep learning with the criterion of 70 percent, and 2) to assess the student teachers' satisfaction toward Mathematics Teaching Theory course based on Deep learning. Methodology: The study involved 120 student teachers at Zhoukou Normal University, with a sample of 30 third-year student teachers from one class of Zhoukou Normal University in China through cluster random sampling. The research instruments were lesson plans, a mathematics teaching competency observation form, and a student teachers' satisfaction questionnaire. Experimental design is the one-group posttest design. Data were collected and analyzed by means, standard deviation, t-test for one sample, and t-test for dependent samples. Results: After studying the Mathematics Teaching Theory course based on Deep learning, student teachers' mathematics teaching competency was higher than the determined criterion of 70% at the .05 statistical significance level; Additionally, student teachers' satisfaction was at a high level. Conclusion: The development of a Mathematics Teaching Theory course based on Deep learning has a significant effect on enhancing mathematics teaching competency for student teachers. Furthermore, student teachers were satisfied with their learning of this course.
Dados da obra
- Tipo
- Artigo
- Periódico
- International Journal of Sociologies and Anthropologies Science Reviews, v. 5, n. 1, p. 809-820
- Ano
- 2025 (2025-01-23)
- Idioma
- en
- Palavras-chave
- deep learning; pre-service teachers; initial teacher education; normal universities; lesson planning
- Temas
- Formação de Professores de Matemática
- DOI
- 10.60027/ijsasr.2025.5461
- ISSN
- 2774-0366, 2985-2730
- Licença
- cc-by-nc-nd
- Acesso
- Download disponível
- Fontes
- OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
ZHANG, Ancheng; JUITHONG, Suwana; NILNOPKOON, Phithack. The Effect of Teaching a Mathematics Teaching Theory Course Based on Deep Learning to Enhance Mathematics Teaching Competency for Student Teachers at Zhoukou Normal University. International Journal of Sociologies and Anthropologies Science Reviews, v. 5, n. 1, p. 809-820, 2025. DOI: https://doi.org/10.60027/ijsasr.2025.5461.
APA
Zhang, A., Juithong, S., & Nilnopkoon, P. (2025). The Effect of Teaching a Mathematics Teaching Theory Course Based on Deep Learning to Enhance Mathematics Teaching Competency for Student Teachers at Zhoukou Normal University. International Journal of Sociologies and Anthropologies Science Reviews, 5(1), 809-820. https://doi.org/10.60027/ijsasr.2025.5461
BibTeX
@article{zhang2025,
author = {Zhang, Ancheng and Juithong, Suwana and Nilnopkoon, Phithack},
title = {The Effect of Teaching a Mathematics Teaching Theory Course Based on Deep Learning to Enhance Mathematics Teaching Competency for Student Teachers at Zhoukou Normal University},
year = {2025},
journal = {International Journal of Sociologies and Anthropologies Science Reviews},
volume = {5},
number = {1},
pages = {809-820},
doi = {10.60027/ijsasr.2025.5461},
language = {en}
}RIS
TY - JOUR AU - Zhang, Ancheng AU - Juithong, Suwana AU - Nilnopkoon, Phithack TI - The Effect of Teaching a Mathematics Teaching Theory Course Based on Deep Learning to Enhance Mathematics Teaching Competency for Student Teachers at Zhoukou Normal University PY - 2025 JO - International Journal of Sociologies and Anthropologies Science Reviews VL - 5 IS - 1 SP - 809 EP - 820 DO - 10.60027/ijsasr.2025.5461 LA - en ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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