Interrogating Tracked Mathematics Teacher Practices: A Logistic Regression Analysis

Artigo2025

Kristian Edosomwan; Miriam Sanders

0 visualizações desta ficha 0 acessos ao texto completo Contagem real do Portal desde 25/09/2026; tráfego comum, sem testes; quem desativa o rastreamento no navegador não é contado.

Resumo

Although teacher tracking in mathematics is a phenomenon broadly recognized by practitioners, there is a dearth of empirical research examining the effects of mathematics teacher tracking. Education reformers and experts declare a need to de-track secondary teachers to balance teaching assignments. This study examines factors relevant to teachers' disposition toward teaching assignments and, in turn, student assignments, such as collective responsibility and self-efficacy in relation to course assignments when controlling for other teacher characteristics. To account for the unique realities of teacher settings, researchers further examine the influence of urban compared to non-urban teacher locales on self-efficacy and collective responsibility. This analysis examines the public High School Longitudinal Study of 2009 (HSLS:09) mathematics teacher survey data (n=17,882) using a logistic regression analysis. Results indicate that mathematics teacher track assignment has a significant influence on self-efficacy and collective responsibility, whereas the locale of urban setting shows no significant difference in teacher self-efficacy and collective responsibility. Through the lens of Expectancy Value Theory (EVT), these results suggest that future researchers should further investigate the nature of the relationship between teachers' course assignments and self-efficacy, collective responsibility, and expectations for students.

Dados da obra

Tipo
Artigo
Periódico
Journal of Urban Mathematics Education
Ano
2025
Idioma
en
Palavras-chave
Secondary School Teachers; Mathematics Teachers; Assignments; Teacher Attitudes; Teacher Characteristics; Rural Urban Differences; Self Efficacy; Teacher Responsibility; Longitudinal Studies; Expectation
ISSN
None
Acesso
Download disponível
Fontes
ERIC — Education Resources Information Center
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
EDOSOMWAN, Kristian; SANDERS, Miriam. Interrogating Tracked Mathematics Teacher Practices: A Logistic Regression Analysis. Journal of Urban Mathematics Education, 2025. Disponível em: https://eric.ed.gov/?id=EJ1484298. Acesso em: 5 nov. 2026.

APA

Edosomwan, K., & Sanders, M. (2025). Interrogating Tracked Mathematics Teacher Practices: A Logistic Regression Analysis. Journal of Urban Mathematics Education. https://eric.ed.gov/?id=EJ1484298

BibTeX
@article{edosomwan2025,
  author = {Edosomwan, Kristian and Sanders, Miriam},
  title = {Interrogating Tracked Mathematics Teacher Practices: A Logistic Regression Analysis},
  year = {2025},
  journal = {Journal of Urban Mathematics Education},
  url = {https://eric.ed.gov/?id=EJ1484298},
  language = {en}
}
RIS
TY  - JOUR
AU  - Edosomwan, Kristian
AU  - Sanders, Miriam
TI  - Interrogating Tracked Mathematics Teacher Practices: A Logistic Regression Analysis
PY  - 2025
JO  - Journal of Urban Mathematics Education
UR  - https://eric.ed.gov/?id=EJ1484298
LA  - en
ER  - 

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

Acessibilidade

As escolhas valem em todas as páginas internas e ficam só neste navegador. Atalho: tecla de acesso 5.

Perfis rápidos

Ajustes

Sobre a acessibilidade do Portal