"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers

Alfredo, RD; Nie, L; Kennedy, P; Power, T; Hayes, C; Chen, H; McGregor, C; Swiecki, Z; Gaševic, D; Martinez-Maldonado, R

"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers

Alfredo, RD Nie, L Kennedy, P

Power, T Hayes, C Chen, H

McGregor, C Swiecki, Z Gaševic, D Martinez-Maldonado, R

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2023, pp. 57-67
Issue Date:: 2023-03-13

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Field	Value	Language
dc.contributor.author	Alfredo, RD
dc.contributor.author	Nie, L
dc.contributor.author	Kennedy, P https://orcid.org/0000-0001-7837-3171
dc.contributor.author	Power, T
dc.contributor.author	Hayes, C
dc.contributor.author	Chen, H https://orcid.org/0000-0001-6883-3752
dc.contributor.author	McGregor, C
dc.contributor.author	Swiecki, Z
dc.contributor.author	Gaševic, D
dc.contributor.author	Martinez-Maldonado, R
dc.date.accessioned	2023-04-18T03:58:16Z
dc.date.available	2023-04-18T03:58:16Z
dc.date.issued	2023-03-13
dc.identifier.citation	ACM International Conference Proceeding Series, 2023, pp. 57-67
dc.identifier.isbn	9781450398657
dc.identifier.uri	http://hdl.handle.net/10453/169928
dc.description.abstract	In recent years, there has been a growing interest in creating multimodal learning analytics (LA) systems that automatically analyse students' states that are hard to see with the "naked eye", such as cognitive load and stress levels, but that can considerably shape their learning experience. A rich body of research has focused on detecting such aspects by capturing bodily signals from students using wearables and computer vision. Yet, little work has aimed at designing end-user interfaces that visualise physiological data to support tasks deliberately designed for students to learn from stressful situations. This paper addresses this gap by designing a stress analytics dashboard that encodes students' physiological data into stress levels during different phases of an authentic team simulation in the context of nursing education. We conducted a qualitative study with teachers to understand (i) how they made sense of the stress analytics dashboard; (ii) the extent to which they trusted the dashboard in relation to students' cortisol data; and (iii) the potential adoption of this tool to communicate insights and aid teaching practices.
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation.ispartof	ACM International Conference Proceeding Series
dc.relation.ispartof	LAK23: 13th International Learning Analytics and Knowledge Conference
dc.relation.isbasedon	10.1145/3576050.3576058
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	"© ACM 2023. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Computer-Human Interaction • Online publication date: 13 Mar 2023 http://doi.org/10.1145/3576050.3576058"
dc.title	"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	open_access	*
dc.date.updated	2023-04-18T03:58:15Z
pubs.publication-status	Published

Abstract:

In recent years, there has been a growing interest in creating multimodal learning analytics (LA) systems that automatically analyse students' states that are hard to see with the "naked eye", such as cognitive load and stress levels, but that can considerably shape their learning experience. A rich body of research has focused on detecting such aspects by capturing bodily signals from students using wearables and computer vision. Yet, little work has aimed at designing end-user interfaces that visualise physiological data to support tasks deliberately designed for students to learn from stressful situations. This paper addresses this gap by designing a stress analytics dashboard that encodes students' physiological data into stress levels during different phases of an authentic team simulation in the context of nursing education. We conducted a qualitative study with teachers to understand (i) how they made sense of the stress analytics dashboard; (ii) the extent to which they trusted the dashboard in relation to students' cortisol data; and (iii) the potential adoption of this tool to communicate insights and aid teaching practices.

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http://hdl.handle.net/10453/169928