Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher–AI Complementarity

Authors

  • Kenneth Holstein Carnegie Mellon University
  • Bruce M. McLaren Carnegie Mellon University
  • Vincent Aleven Carnegie Mellon University

DOI:

https://doi.org/10.18608/jla.2019.62.3

Keywords:

real-time analytics, co-design, cognitive augmentation, orchestration, awareness, design methods, prototyping methods, k-12, classrooms, needfinding, wearables, AI, adaptive learning technologies, intelligent tutoring systems, automation, augmentation, teachers, participatory design

Abstract

Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article reports on the iterative co-design, development, and classroom evaluation of Konscia, a wearable, real-time awareness tool for teachers working in AI-enhanced K-12 classrooms. In the process, we argue that the co-design of LA systems requires new kinds of prototyping methods. We introduce one of our own prototyping methods, REs, to address unique challenges of co-prototyping LA tools. This work presents the first end-to-end demonstration of how non-technical stakeholders can participate throughout the whole design process for a complex LA system—from early generative phases to the selection and tuning of analytics to evaluation in real-world contexts. We conclude by providing methodological recommendations for future LA co-design efforts.

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2019-07-22

How to Cite

Holstein, K., McLaren, B. M., & Aleven, V. (2019). Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher–AI Complementarity. Journal of Learning Analytics, 6(2), 27–52. https://doi.org/10.18608/jla.2019.62.3

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Special Section: Human-Centred Learning Analytics