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Secondary school leadership provides multiple challenges in terms of the diversity of tasks, multiple demands on time, balancing communities and attending to instructional programming. An emerging scholarship suggests the importance of a distributed instructional leadership approach to high school leadership. However, what has been less thoroughly explored is how secondary school leadership is distributed leaders across a school district. The purpose of this paper is to investigate the social structure and positions urban high school principals occupy in the district system.

This study was conducted in one urban fringe public school district in southern California serving diverse students populations. The data were collected at three time points starting in Fall 2012 and ending in Fall 2014 from a district-wide leadership team including all central office and site leaders. All leaders were asked to assess their social relations and perception of innovative climate. The data were analyzed through a series of social network indices to examine the structure and positions of high school principals.

Results indicate that over time high school principals have decreasing access to social capital and are typically occupying peripheral positions in the social network. The high school principals’ perception of innovative climate across the district decreases over time.

This longitudinal study, one of the first to examine high school principals from a network perspective, sheds new light on the social infrastructure of urban high school principals and what this might mean for efforts at improvement.

Driven by the need to deepen understanding of the mechanisms driving teacher collaboration for enhancing teacher learning and practices, this study aims to investigate the influence of collaborative organizational conditions, network intentionality and efficacy for leading curriculum learning on teachers’ professional growth within the context of New Zealand’s Communities of Learning-Kahui Ako (CoL) policy.

The study employs survey design collecting perceptual data from teachers within two CoLs comprising 12 schools in New Zealand. Structural equation modeling is used to analyze the relationships between collaborative organizational conditions, teachers’ network intentionality, leadership efficacy and teacher professional growth.

The findings reveal that collaborative organizational conditions significantly impact teachers’ professional growth such as their new learning and enhanced practices. Furthermore, teachers’ network intentionality and efficacy for leading curriculum learning serve as mediators, amplifying the effects of collaborative organizational conditions on teacher professional growth. Specifically, teachers who are more confident in their leadership abilities and intentionally build professional relationships are better at using collaborative opportunities to address teaching challenges and bring innovation to their schools.

This study contributes to the existing literature by examining the interplay between organizational conditions, internal motivational drive for collaboration, and teacher professional growth within the context of CoL policy in New Zealand. It sheds light on the mechanisms driving teacher professional growth and offers insights for enhancing teacher collaboration and professional learning experiences within CoL networks.

Educational reform is a complex undertaking and the interactions between leaders as they go about a change are consequential for realizing desired outcomes. Advice relationships are one such interaction and can play a key role in driving knowledge transfer and development and as such are an important social capital asset supporting organizational change. Building on the growing scholarship around a social network approach to understanding educational leadership and systems change, the study draws from network concepts to examine advice relationships within a district-wide leadership team as the leaders engages a reform initiative, and what accounts for the development of these important relational ties.

Quantitative data were collected through an annual survey at six points over six years from the leadership team in one public school district in the Western United States, including perceptions of organizational learning, beliefs about reform, and reform-related advice relationships.

Using multilevel mixed modeling, findings reveal downward trends in leaders' advice-seeking and -receiving ties over time and that seeking and receiving advice is positively related to organizational learning, beliefs about reform impact, or beliefs about their efficacy in implementing the reform. However, views about reform-related resources are negatively associated with seeking and receiving advice ties over time.

This study contributes to the literature on the social side of change specifically related to leadership, reform, organizational learning, and leader beliefs about reform implementation. Further, the work offers practical implications for potential social infrastructure design for joint work.

As accountability policies worldwide press for higher student achievement, schools across the globe are enacting a host of reform efforts with varied outcomes. Mounting evidence suggests reforms, which encourage greater collaboration among teachers, may ultimately support increased student learning. Specifically, this study aims to investigate the relationship between human and social and student achievement outcomes.

In exploring this idea, the authors draw on human and social capital and examine the influence of these forms of capital on student achievement using social network analysis and hierarchical linear modeling.

The results indicate that teacher human and social capital each have a significant and positive relationship with student achievement. Moreover, both teacher human and social capital together have an even stronger effect on student achievement than either human or social capital alone.

As more schools across the globe adopt structures for teacher collaboration and the development of learning communities, there is a need to better understand how schools may capitalize on these opportunities in ways that yield improved student learning. Our work sheds new light on these critical foundational elements of human and social capital that are individually and collectively associated with student achievement.

This study responds to major administrative and policy priorities to support science, technology, engineering and mathematics (STEM) education by investigating a multi-sector ecosystem of regional organizations that support a STEM pipeline for education and careers.

We use social network analysis to investigate an entire region within a geographic region of California which included 316 organizations that represent different stakeholder groups, including educational institutions (school districts, schools and higher education), government, private companies, museums, libraries and multiple community-based organizations. This STEM ecosystem reflects a systems-level analysis of a region from a unique social network perspective.

Results indicate that organizations have a surface-level access to STEM-related information, but the deeper and more intense relationship which involves strategic collaboration is limited. Further, interactions around information and collaboration between organizations were purportedly in part to be about education, rarely included PK-12 schools and district as central actors in the ecosystem. In addition, while institutions of higher education occupy a central position in connecting and bridging organizations within the ecosystem, higher education's connectivity to the PK-12 education sector is relatively limited in terms of building research and practice partnerships.

This research has implications for how regional-level complex systems are analyzed, led and catalyzed and further reflects the need to intentionally attend to the growth of STEM networks.

The purpose of this paper is two-fold: (1) to offer a conceptual understanding of knowledge brokering from a sociometric point-of-view; and (2) to provide an empirical example of this conceptualization in an education context.

We use social network theory and analysis tools to explore knowledge exchange patterns among a group of teachers, instructional coaches and administrators who are collectively seeking to build increased capacity for effective mathematics instruction. We propose the concept of network activity to measure direct and indirect knowledge brokerage through the use of degree and betweenness centrality measures. Further, we propose network utility—measured by tie multiplexity—as a second key component of effective knowledge brokering.

Our findings suggest significant increases in both direct and indirect knowledge brokering activity across the network over time. Teachers, in particular, emerge as key knowledge brokers within this networked learning community. Importantly, there is also an increase in the number of resources exchanged through network relationships over time; the most active knowledge brokers in this social ecosystem are those individuals who are exchanging multiple forms of knowledge.

This study focuses on knowledge brokering as it presents itself in the relational patterns among educators within a social ecosystem. While it could be that formal organizational roles may encapsulate knowledge brokering across physical structures with an education system (e.g. between schools and central offices), these individuals are not necessarily the people who are most effectively brokering knowledge across actors within the broader social network.

Previous attempts to solve complex problems in the field of education have often focused on one disciplinary perspective. This impedes the creation of meaningful solutions and lasting change. While an interdisciplinary approach has the potential for complex problem solving, it has often proven difficult. The purpose of this paper is to apply social capital and sense-making lenses to facilitate complex problem-solving on a large, interdisciplinary, National Science Foundation funded team.

Social network analysis (SNA) and interviews allowed for the examination of the existing underlying social structures of the project team, and the ways in which these underlying structures were impacting the team’s ability to leverage its own social capital.

Findings demonstrated that decentralized, low levels of weekly and daily collaboration may constrain the team’s capacity for collective sense-making and its ability to achieve coherence around project goals.

Using SNA to systematically study the underlying network structure of a team, with the intention to use that data to drive change, can allow teams to shape their networks over time to allow for sense-making and successful collaborations. It may be that, while large teams are studying their intended phenomena, they should also make time to study themselves.

Increasing the successfulness of large teams stands to positively impact researchers’ abilities to create workable solutions to intractable problems.

While SNA is a popular approach to understanding school districts and the spread of educational innovations, this study uses SNA to understand the creation of solutions and innovations.