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Although organizational visions can guide everyday work, little is known about how visions relating to non-academic goals, such as social justice, might be integrated into educators’ technology practices. The purpose of this paper is to describe and analyze one school’s 1:1 iPad initiative, including the potential role played by the school’s social justice mission.

This mixed-methods case study drew upon data collected in a 1:1 school enrolling approximately 1,500 students. In total, approximately 138 educators responded to the online survey, and 18 educators participated in interviews. Social network analysis (SNA) techniques (i.e. faction analysis) and analysis of variance helped to describe educators’ instructional practices and attitudes involving iPads, including the extent to which devices were used in alignment with the school’s mission and vision.

Lacking a centralizing core of actors, the school was found to be divided into nine distinct, cohesive subgroups (i.e. factions). Statistically significant differences were found among these communities of discourse. Leaders’ lack of centrality in school change, especially as it related to helping teachers envision ways to connect mission with practices, may have hindered technology integration and instructional innovation.

Whereas prior research has described the centralizing role leaders may play in 1:1 initiatives, this study demonstrates how a lack of centralized leadership structures may adversely impact a sense of mission, and ultimately, technology integration. Moreover, this study advances the use of SNA methodologies in studies of leadership, especially the use of latent, underlying communities of discourse as categories for further analysis. As such, the authors discuss recommendations for leaders regarding the development of cohesion around issues of mission, vision and technology integration. Further, the authors point toward ways in which scholars might conceptualize about technologically supported educational change.

Applications for tracking and managing classroom behavior have become increasingly commonplace, thus making it possible to incorporate nonacademic data into collaborative problem-solving and school improvement. Whether or how these platforms might support such aims, however, is not known. Accordingly, this study explores practices involving these applications, focusing especially on problem-solving among educators and with students' families.

This comparative case study took place in three schools. In total, 34 semistructured interviews were conducted with teachers and school leaders. Analysis included qualitative coding as well as the development of within- and cross-case summaries.

Schools varied greatly when it came to using behavior management platforms as a part of problem-solving. At a basic level, it was not uncommon for educators to use behavioral data for classroom troubleshooting or check-ins with students and transactional communications with families. However, only two schools attempted to use behavioral data for more systemic, “big picture” problem-solving, such as to make discipline policies more equitable or to improve teacher practices. The richness of collaboration with families seemed especially shaped by how and how frequently data were shared (e.g. automated notifications and paper printouts).

Empirical research about behavior management applications has been limited and focused only at the classroom level. The present study contributes new knowledge about the school-level implications of these platforms, while also expanding conversations about how behavioral data may be incorporated into data-informed problem-solving. Implications for leadership and theory are also discussed.

As digital devices (e.g. laptops, tablets) have become increasingly ubiquitous, so too has students’ potential for digital distraction. It is yet unknown how teachers and schools might effectively handle such challenges. Accordingly, the purpose of this paper is to explore educators’ encounters with digital distraction among students, including their work toward addressing the problem.

This mixed-methods case study drew upon interview and survey data. Data were analyzed to describe educators’ encounters with and problem solving around digital distraction. This included the use of social network analysis. Specifically, a core-periphery model helped illuminate patterns in collaborative problem solving.

Students’ distractions included online entertainment and sending messages. This added to an overall atmosphere of distractedness in classrooms. Rather than collaborate around digital distraction, teachers tended to handle these issues on their own. If teachers did talk to others, these instances were more likely complaints to leaders than peer-to-peer collaborations.

This study provides a descriptive account of one school and its problem solving around digital distraction. Building upon this study, future research might address the effectiveness of approaches for handling distraction, the influence of network structures on problem solving, and the factors influencing educators’ collaboration around technology.

Digital distraction is a new challenge in schools and in society. This study lays groundwork for understanding and addressing this issue. It also demonstrates one way to apply core-periphery analyses toward understanding problem solving.