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July 22, 2019Journal of Learning Analytics372 citationsOpen Access

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

KHKenneth HolsteinBMBruce M. McLarenVAVincent Aleven

Key Points

  • This research aims to develop a real-time awareness tool for teachers that enhances complementarity with AI in the classroom.
  • Iterative co-design and development of Konscia, a wearable tool for teachers.
  • Classroom evaluation of the tool in AI-enhanced K-12 settings.
  • Introduction of REs, a new prototyping method for co-designing learning analytics systems.
  • Demonstrated effective participation of non-technical stakeholders throughout the design process.
  • Highlighted unique challenges in co-prototyping learning analytics tools.
  • Provided new methodological recommendations for future educational technology co-design efforts.

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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Cite This Study

Holstein et al. (2019) studied this question.

synapsesocial.com/papers/69ff4aca4716aad0cc8547bfhttps://doi.org/10.18608/jla.2019.62.3
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