September 10, 2025Education SciencesOpen Access

How Teaching Practices Relate to Early Mathematics Competencies: A Non-Linear Modeling Perspective

View Full Paper

Ask AI

Bookmark

Authors

YDYixiao Dong DCDouglas H. Clements CMChristina Mulcahy

Discussion

Member takes

Implication

This analysis employs machine learning methods to uncover non-linear relationships between teaching practices and mathematical competence in children, indicating potential improvements.

Key Points

Certain teaching practices are significantly linked to children's mathematical competencies through non-linear modeling techniques.
The study utilized Random Forest to identify key predictors and Generalized Additive Models to show complex relationships involving COEMET items.
Innovative analytical methods revealed that standard measures may not fully capture the impact of educator practices on student learning outcomes.
The Classroom Observation of Early Mathematics Environment and Teaching provides a robust framework for evaluating teaching effectiveness in early mathematics.

Cite This Study

Dong et al. (2025) studied this question.

synapsesocial.com/papers/68c23d3ab210217d6478c57b https://doi.org/10.3390/educsci15091175

View Full Paper

Ask AI

Bookmark

Implication

This analysis employs machine learning methods to uncover non-linear relationships between teaching practices and mathematical competence in children, indicating potential improvements.

How Teaching Practices Relate to Early Mathematics Competencies: A Non-Linear Modeling Perspective

Discussion

Member takes

Implication

Key Points

Cite This Study

How Teaching Practices Relate to Early Mathematics Competencies: A Non-Linear Modeling Perspective

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider