Abstract
Background
Teacher qualifications have been emphasized as a basis of professional development to improve classroom practices for at-risk children’s school readiness. However, teacher qualifications have often not been compared to another form of professional development, in-service training.
Objective
The current study attempts to investigate contributions of multiple types of professional development to school readiness skills of low-income preschoolers. Specifically, we examined the significance of teachers’ education level, degree, teaching certificate, teaching experiences as well as specialized in-service training and coaching support as these teacher trainings are linked to preschoolers’ school readiness through proximal classroom practices.
Method
We used a multi-level path analysis to examine multiple pathways from teachers’ professional development to classroom environments and school readiness with Head Start Family and Child Experiences Survey 2003 (N = 2,159).
Results
Teachers with an early childhood education major provided higher-quality provision for learning and social-emotional practices in the classroom; teachers who received coaching provided higher-quality social-emotional and parent involvement practices. Further, children in higher-quality social-emotional classrooms had better math skills, social skills and learning behaviors; children in the classrooms with higher-quality parent involvement practices had higher receptive vocabulary and parent-reported social skills and positive approaches to learning.
Conclusions
Along with early childhood education degree, ongoing coaching support would work effectively, improving classroom environments and a broad array of school readiness skills of at-risk children.
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Notes
Standardized path coefficients reported here calculated with the StdYX option in the Mplus, which uses the variances of the continuous latent variables as well as the variances of the background and outcome variables for standardization. This is similar to the one used in the linear regression of y on x, bStdYX = b*SD(x)/SD(y), but in the context of multiple-level path modeling using FIML. For convenience of reporting, we used bStdYX here as a notation for standardized path coefficients.
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Son, SH.C., Kwon, KA., Jeon, HJ. et al. Head Start Classrooms and Children’s School Readiness Benefit from Teachers’ Qualifications and Ongoing Training. Child Youth Care Forum 42, 525–553 (2013). https://doi.org/10.1007/s10566-013-9213-2
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DOI: https://doi.org/10.1007/s10566-013-9213-2