Classroom Dandelions: Visualising Participants' Position, Trajectories and Body Orientation Augments Teachers' Sensemaking

要旨

Despite the digital revolution, physical space remains the site for teaching and learning embodied knowledge and skills. Both teachers and students must develop spatial competencies to effectively use classroom spaces, enabling fluid verbal and non-verbal interaction. While video permits rich activity capture, it provides no support for quickly seeing activity patterns that can assist learning. In contrast, position tracking systems permit the automated modelling of spatial behaviour, opening new possibilities for feedback. This paper introduces the design rationale for "Dandelion Diagrams" that integrate participant location, trajectory and body orientation over a variable period. Applied in two authentic teaching contexts (a science laboratory, and a nursing simulation) we show how heatmaps showing only teacher/student location led to misinterpretations that were resolved by overlaying Dandelion Diagrams. Teachers also identified a variety of ways they could aid professional development. We conclude Dandelion Diagrams assisted sensemaking, but discuss the ethical risks of over-interpretation.

著者
Gloria Fernandez-Nieto
University of Technology Sydney, Sydney, NSW, Australia
Pengcheng An
University of Waterloo, Waterloo, Ontario, Canada
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
Simon Buckingham Shum
University of Technology Sydney, Sydney, New South Wales, Australia
Roberto Martinez-Maldonado
Monash University, Melbourne, Victoria, Australia
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517736

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: VR, AR, and 3D for Learning

386
5 件の発表
2022-05-04 01:15:00
2022-05-04 02:30:00