Abstract
Professional development and training often require students to reflect on their performance, especially recalling the mistakes they have made in safe training environments, but these can occur in rapidly evolving and busy environments where key actions are often missed. Promisingly, rapid improvements in wearable sensing technologies are opening up new opportunities to capture large amounts of multimodal behaviour data that can serve as evidence to support student reflection about their performance. However, while some preliminary research has highlighted the potential of analysing such data to identify interesting patterns, less work has focused on the problem of automatically communicating meaningful and contextualised data and insights to end-users. Based on the notion of data storytelling as a means of extracting actionable insights from data, this paper presents YarnSense, an architecture to automatically generate data stories with the intention of supporting student reflection and learning. YarnSense maps low-level sensor data to the pedagogical intentions of teachers, bringing human instructors into the data analysis loop. We illustrate this approach with a reference implementation of the system and an in-the-wild study in the context of immersive simulation in healthcare.
Original language | English |
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Title of host publication | 2024 Joint of International Conference on Learning Analytics and Knowledge Workshops |
Editors | Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernandez-Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C.M. Yang, Owen H.T. Lu, Hiroaki Ogata, Vanessa Echeverria, Roberto Martinez-Maldonado, Yi-shan Tsai, Lu Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gašević, Caitlin Mills, Stephen Hutt |
Place of Publication | Aachen Germany |
Publisher | CEUR-WS |
Pages | 124-138 |
Number of pages | 15 |
Publication status | Published - 2024 |
Event | Data Storytelling and Learning Analytics Workshop 2024 - Kyoto, Japan Duration: 19 Mar 2024 → 19 Mar 2024 https://datastorytelling-education.github.io/index (Website) https://ceur-ws.org/Vol-3667/ (Proceedings) |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR-WS |
Volume | 3667 |
ISSN (Print) | 1613-0073 |
Conference
Conference | Data Storytelling and Learning Analytics Workshop 2024 |
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Abbreviated title | DS-LAK24 |
Country/Territory | Japan |
City | Kyoto |
Period | 19/03/24 → 19/03/24 |
Internet address |
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Keywords
- Data Storytelling
- data visualisation
- multimodal data
- sensor data