"That Student Should be a Lion Tamer!" StressViz: Designing a stress analytics dashboard for teachers

Riordan Dervin Alfredo, Lanbing Nie, Paul Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gaševic, Roberto Martinez-Maldonado

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationLAK 2023 Conference Proceedings - Towards Trustworthy Learning Analytics - 13th International Conference on Learning Analytics and Knowledge
EditorsIsabel Hilliger, Hassan Khosravi, Bart Rienties, Shane Dawson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages11
ISBN (Electronic)9781450398657
Publication statusPublished - 2023
EventInternational Conference on Learning Analytics and Knowledge 2023 - Arlington, United States of America
Duration: 13 Mar 202317 Mar 2023
Conference number: 13th
https://dl.acm.org/doi/proceedings/10.1145/3576050 (Proceedings)
https://www.solaresearch.org/events/lak/lak23/ (Website)


ConferenceInternational Conference on Learning Analytics and Knowledge 2023
Abbreviated titleLAK 2023
Country/TerritoryUnited States of America
Internet address


  • Affective computing
  • Healthcare education
  • LA dashboard
  • Multimodal dataset
  • Stress detection
  • Visualisation

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