T his chapter is a call for consequential education research that has transformative potential: intellectually, educationally, and socially. It is about learning to see differently. It is an argument about seeing our work with youth and communities in ways that can help education researchers see ingenuity instead of ineptness and inability, to see resilience instead of deficit, and to imagine futures with youth from nondominant communities instead of imposing failure. We use the notion of "learning to see" both metaphorically and as a theoretical lens and methodological guide to illustrate how rigorous and consequential education research can help us imagine and design new forms of learning and schooling. We argue that rupturing educational inequality also involves new forms of inquiry that help reconceptualize what it means to work with nondominant communities.

Researchers and developers of learning analytics (LA) systems are increasingly adopting human-centred design (HCD) approaches, with growing need to understand how to apply design practice in different educational settings. In this paper, we present a design narrative of our experience developing dashboards to support middle school mathematics teachers’ pedagogical practices, in a multi-university, multi-school district, improvement science initiative in the United States. Through documentation of our design experience, we offer ways to adapt common HCD methods — contextual design and design tensions — when developing visual analytics systems for educators. We also illuminate how adopting these design methods within the context of improvement science and research–practice partnerships fundamentally influences the design choices we make and the focal questions we undertake. The results of this design process flow naturally from the appropriation and repurposing of tools by district partners and directly inform improvement goals.

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