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EduSense: Practical Classroom Sensing at Scale

Authors:

Franceska Xhakaj,

Jay Eric Townsend,

Chris Harrison,

Yuvraj AgarwalAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3, Issue 3

Article No.: 71, Pages 1 - 26

https://doi.org/10.1145/3351229

Published: 09 September 2019 Publication History

Abstract

Providing university teachers with high-quality opportunities for professional development cannot happen without data about the classroom environment. Currently, the most effective mechanism is for an expert to observe one or more lectures and provide personalized formative feedback to the instructor. Of course, this is expensive and unscalable, and perhaps most critically, precludes a continuous learning feedback loop for the instructor. In this paper, we present the culmination of two years of research and development on EduSense, a comprehensive sensing system that produces a plethora of theoretically-motivated visual and audio features correlated with effective instruction, which could feed professional development tools in much the same way as a Fitbit sensor reports step count to an end user app. Although previous systems have demonstrated some of our features in isolation, EduSense is the first to unify them into a cohesive, real-time, in-the-wild evaluated, and practically-deployable system. Our two studies quantify where contemporary machine learning techniques are robust, and where they fall short, illuminating where future work remains to bring the vision of automated classroom analytics to reality.

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Cited By

Pelfrey GJustice LGonzalez Villasanti HFoster T(2024)Evaluating the accuracy of automated processing of child and adult language production in preschool classroomsFrontiers in Psychology10.3389/fpsyg.2024.132266515Online publication date: 26-Jun-2024
https://doi.org/10.3389/fpsyg.2024.1322665
Nakamura KIshihara MHorikoshi IOgata H(2024)Uncovering insights from big data: change point detection of classroom engagementSmart Learning Environments10.1186/s40561-024-00317-611:1Online publication date: 1-Jul-2024
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Index Terms

EduSense: Practical Classroom Sensing at Scale
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 3, Issue 3

September 2019

1415 pages

EISSN:2474-9567

DOI:10.1145/3361560

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Published: 09 September 2019

Published in IMWUT Volume 3, Issue 3

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Pelfrey GJustice LGonzalez Villasanti HFoster T(2024)Evaluating the accuracy of automated processing of child and adult language production in preschool classroomsFrontiers in Psychology10.3389/fpsyg.2024.132266515Online publication date: 26-Jun-2024
https://doi.org/10.3389/fpsyg.2024.1322665
Nakamura KIshihara MHorikoshi IOgata H(2024)Uncovering insights from big data: change point detection of classroom engagementSmart Learning Environments10.1186/s40561-024-00317-611:1Online publication date: 1-Jul-2024
https://doi.org/10.1186/s40561-024-00317-6
Foster TJustice LGonzalez Villasanti HIrvin DMessinger D(2024)Classroom Sensing Tools: Revolutionizing Classroom-Based Research in the 21st CenturyTopics in Early Childhood Special Education10.1177/0271121423122080044:3(229-242)Online publication date: 11-Jan-2024
https://doi.org/10.1177/02711214231220800
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