Estimating orchestration load in CSCL situations using EDA

Citació

  • Crespi F, Amarasinghe I, Vujovic M, Hernández-Leo D. Estimating orchestration load in CSCL situations using EDA. In: 2022 International Conference on Advanced Learning Technologies, ICALT 2022; 2022 Jul 1-4; Bucharest, Romania. [New York]: IEEE; 2022. p. 128-32. DOI: 10.1109/ICALT55010.2022.00046

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Descripció

  • Resum

    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.

  • Descripció

    Comunicació presentada a: ICALT 2022 International Conference on Advanced Learning Technologies, celebrat del 1 al 4 de juliol de 2022 a Bucarest, Rumania.

  • DOI

    http://doi.org/10.1109/ICALT55010.2022.00046

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