Record link: 
http://hdl.handle.net/20.500.12708/177553
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Title: 
Estimating Orchestration Load in CSCL Situations Using EDA
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Citation: 
Crespi, F., Amarasinghe, I., Vujovic, M., & Hernandez-Leo, D. (2022). Estimating Orchestration Load in CSCL Situations Using EDA. In M. Chang (Ed.), 2022 International Conference on Advanced Learning Technologies (ICALT) (pp. 128–132). IEEE. https://doi.org/10.1109/ICALT55010.2022.00046
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Publisher DOI: 
10.1109/ICALT55010.2022.00046
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Crespi, Francisco 
Amarasinghe, Ishari 
Vujovic, Milica 
Hernandez-Leo, Davinia 
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Organisational Unit: 
E259-01 - Forschungsbereich Digitale Architektur und Raumplanung 
E259 - Institut für Architekturwissenschaften 
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Published in: 
2022 International Conference on Advanced Learning Technologies (ICALT) 
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ISBN: 
9781665495196
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Date (published): 
2022
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Event name: 
2022 International Conference on Advanced Learning Technologies (ICALT) 
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Event date: 
1-Jul-2022 - 4-Jul-2022
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Event place: 
Bucharest, Romania
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Number of Pages: 
5
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Publisher: 
IEEE, Piscataway
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Keywords: 
Computer-Supported Collaborative Learning (CSCL); Electrodermal Activity (EDA); Orchestration Load; Teacher-Facing Dashboards
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Abstract: 
This study investigates the extent to which Electrodermal Activity (EDA) sensor data can be triangulated with self-perception measures to estimate facets of teachers' orchestration load in the context of Computer-Supported Collaborative Learning (CSCL). It was expected to observe variances in the EDA signal as a result of stressful moments and incidents related to orchestration. Study findings indicated that EDA variations concurred with situations in which the teacher reported feeling stressed when orchestrating CSCL Pyramid scripts.
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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