research-article

Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts

Authors:

Betsy DisalvoAuthors Info & Claims

L@S '20: Proceedings of the Seventh ACM Conference on Learning @ Scale

Pages 63 - 76

https://doi.org/10.1145/3386527.3405917

Published: 12 August 2020 Publication History

Abstract

Large-scale educational settings have been common domains for affect detection and recognition research. Most research emphasizes improvements in the accuracy of affect measurement to enhance instructors' efficiency in managing large numbers of students. However, these technologies are not designed from students' perspectives, nor designed for students' own usage. To identify the unique design considerations for affect sensors that consider student capacities and challenges, and explore the potential of affect sensors to support students' self-learning, we conducted semi-structured interviews and surveys with both online students and on-campus students enrolled in large in-person classes. Drawing on these studies we: (a) propose using affect data to support students' self-regulated learning behaviors through a "scaling for empowerment'' design perspective, (b) identify design guidelines to mitigate students' concerns regarding the use of affect data at scale, (c) provide design recommendations for the physical design of affect sensors for large educational settings.

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Index Terms

Sensing Affect to Empower Students: Learner Perspectives on Affect-Sensitive Technology in Large Educational Contexts
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
  2. Ubiquitous and mobile computing

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cover image ACM Other conferences

L@S '20: Proceedings of the Seventh ACM Conference on Learning @ Scale

August 2020

442 pages

ISBN:9781450379519

DOI:10.1145/3386527

General Chair:
David Joyner
Georgia Tech
,
Program Chairs:
Rene Kizilcec
Cornell University
,
Susan Singer
Rollins College

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L@S '20: Seventh (2020) ACM Conference on Learning @ Scale

August 12 - 14, 2020

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