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Abstract

Classroom orchestration requires teachers to concurrently manage multiple activities across multiple social levels (individual, group, and class) and under various constraints. Real-time dashboards can support teachers; however, designing actionable dashboards is a huge challenge. This paper describes a participatory design study to identify and inform critical features of a dashboard for displaying relevant, actionable, real-time data. We leveraged a Sense-Assess-Act framework to present dashboard mockups to teachers for feedback. Although the participating teachers differed in how they would use the presented information (during class or after class as a post hoc analysis tool), two common emerging themes were that they wanted to use the data to a) better support their students and b) to make broader instructional decisions. We present data from our study and propose a customizable, mobile dashboard, that can be adapted to a teacher’s specific needs at a specific time, to help them better facilitate learning activities.

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Acknowledgements

We thank the teachers who participated in our studies. The research described in this paper has been partially funded by NSF grants #2019805, #2010357, and #2010483.

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Correspondence to Indrani Dey , Rachel Dickler , Leanne Hirshfield , William Goss , Mike Tissenbaum or Sadhana Puntambekar .

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Dey, I., Dickler, R., Hirshfield, L., Goss, W., Tissenbaum, M., Puntambekar, S. (2022). Using Participatory Design Studies to Collaboratively Create Teacher Dashboards. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_103

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  • DOI: https://doi.org/10.1007/978-3-031-11647-6_103

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