The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms

要旨

Recently, the HCI community has seen increased interest in the design of teaching augmentation (TA): tools that extend and complement teachers' pedagogical abilities during ongoing classroom activities. Examples of TA systems are emerging across multiple disciplines, taking various forms: e.g., ambient displays, wearables, or learning analytics dashboards. However, these diverse examples have not been analyzed together to derive more fundamental insights into the design of teaching augmentation. Addressing this opportunity, we broadly synthesize existing cases to propose the TA framework. Our framework specifies a rich design space in five dimensions, to support the design and analysis of teaching augmentation. We contextualize the framework using existing designs cases, to surface underlying design trade-offs: for example, balancing actionability of presented information with teachers' needs for professional autonomy, or balancing unobtrusiveness with informativeness in the design of TA systems. Applying the TA framework, we identify opportunities for future research and design.

キーワード
Teacher
Classroom
K-12
Augmented Intelligence
Ambient Intelligence
Orchestration
Dashboards
著者
Pengcheng An
Eindhoven University of Technology, Eindhoven, Netherlands
Kenneth Holstein
Carnegie Mellon University, Pittsburgh, PA, USA
Bernice d'Anjou
Eindhoven University of Technology, Eindhoven, Netherlands
Berry Eggen
Eindhoven University of Technology, Eindhoven, Netherlands
Saskia Bakker
Philips Experience Design, Eindhoven, Netherlands
DOI

10.1145/3313831.3376277

論文URL

https://doi.org/10.1145/3313831.3376277

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Educational support with data & systems

Paper session
313A O'AHU
5 件の発表
2020-04-29 20:00:00
2020-04-29 21:15:00
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