Abstract

Networked Improvement Community (NICs) are increasingly recognized as a social innovation for orchestrating sustained change in education. NICs are one type of a research-practice partnership that provides a model for researchers and educators to bring insights about what works locally to scale. A critical aspect of NIC success is the emergence of relational trust across the participant network. At initiation, therefore, NIC leaders must create the conditions for long-term development of relational trust, which can be operationalized to be the existence of reciprocated, help-based interactions. To understand how NIC leaders foster these reciprocated, help-based interactions, this paper leverages social network and qualitative data to explore how the core activities of a NIC might foster help-based interactions amongst participants. This paper is a case study of how social network and qualitative data analysis might be applied to the design and development of NICs, and social innovation more broadly. We explore the context of the Personalization in Practice - Networked Improvement Community, which brought together 21 educators from five schools around a common challenge. Our analysis highlights how collaborative design activities created the conditions for relational trust to emerge: sparking interactions around shared practices, creating situations for participants to ask for help, and encouraging reciprocated, help-based interactions. Our findings demonstrate how specific collaborative design activities can foster the kinds of trust-building networks necessary for NIC success. This paper presents an applied case of using analytic research methods for the design of social innovation. The triangulation of social network and qualitative data provided insight into the internal dynamics of the partnership and has implications for development measures of network health. We found that the social network data described that interaction changed, but did not indicate which activities led to these changes. This case contributes to emerging research on how to measure the effects Networked Improvement Communities on participants and their practices. We demonstrate, on a practical level, how social network and qualitative data might be used to generate network-level data for improvement, and we contribute theoretical insight into the way collaborative design creates the conditions for the long-term development of relational trust.

Highlights

  • Solving the complex problems of educational systems requires rethinking how researchers and educators work together

  • Our findings focus on identifying the emergence of helpbased interactions through the Personalization in Practice-Networked Improvement Community (PiPNIC) collaborative design activities, on describing the conditions that sparked these interactions

  • In PiPNIC, recruitment began with researchers who had existing ties with potential partners

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Summary

Introduction

Solving the complex problems of educational systems requires rethinking how researchers and educators work together. The education policy and research community has come to realize the promise of social innovations, through including educators in the change process (Cohen-Vogel et al, 2015). This realization is seen in the emergence of research-practice partnerships as a promising pathway to engage in systems-level change (Coburn and Stein, 2010). When the first NICs achieved outsized success, NICs became an increasingly popular model for reform (Bryk et al, 2015) Toward this end, research on models for NIC initiation (Russell et al, 2017) and execution (LeMahieu et al, 2017) have focused primarily on identifying the organizational structures, methods, and tools that support NIC progress. What is less clear is how NICs foster the social capacities, such as relational trust, that are needed for sustained reform

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