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Author ORCID Identifier
N/A
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Education
Year Degree Awarded
2017
Month Degree Awarded
May
First Advisor
Rebecca Woodland
Second Advisor
Jennifer Randall
Third Advisor
W. Richards Adrion
Subject Categories
Educational Assessment, Evaluation, and Research | Educational Leadership
Abstract
The purpose of this study was to understand the capacity for diffusion of computer science instruction in an urban school district. Two types of networks, general instructional support and computer science-related support, were described and investigated. Social Network Analysis was used as the primary method to examine the structure of and relationships between the networks. Results suggest that even in schools with dense and distributed instructional support networks, sparse and centralized systems of ties are characteristic of DLCS support networks. Further, an analysis of networks with and without team-supported ties indicates that formal structures for collaborative teaming are critical sources of social capital for teachers and are essential for the diffusion of high quality DLCS instructional practices. Multinomial logistic regression indicated a significant positive relationship between teachers’ self-efficacy and in-degree centrality, and a significant but negative relationship between seniority and out-degree.
DOI
https://doi.org/10.7275/9884239.0
Recommended Citation
Mazur, Rebecca, "Examining the Capacity of Instructional Support Networks for the Diffusion of Computer Science for All (CSforALL) in an Urban District" (2017). Doctoral Dissertations. 927.
https://doi.org/10.7275/9884239.0
https://scholarworks.umass.edu/dissertations_2/927
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Leadership Commons