Estimating Orchestration Load in CSCL Situations Using EDA

Crespi, Francisco; Amarasinghe, Ishari; Vujović, Milica; Hernández‐Leo, Davinia

doi:10.1109/icalt55010.2022.00046

2022 International Conference on Advanced Learning Technologies (ICALT) 2022

DOI: 10.1109/icalt55010.2022.00046

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Estimating Orchestration Load in CSCL Situations Using EDA

Francisco Crespi

Ishari Amarasinghe

Milica Vujović

et al.

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 orchestrat… Show more

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2024

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Cited by 2 publications

References 21 publications

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Student and teacher impact on the use of telepresence classrooms

Martín,

Alario-Hoyos,

Moreno-Marcos

et al. 2024

Educ Inf Technol

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Hybrid learning environments saw significant growth due to the COVID-19 pandemic but persist beyond it, one example is the telepresence classroom. This classroom allows the connection of two classrooms in distance locations into a singular one. The technology in a telepresence classroom includes a camera, multiple projectors, microphones, and speakers to emulate a single learning space despite the distance, potentially overcoming some of the challenges presented by hybrid settings. However, the telepresence classroom presents technological and logistical complexities for the teachers. Thus, it is essential to understand the impact on the teacher agency, as well as on the workload of both students and teachers. Therefore, two collaborative learning sessions were conducted, utilising the collaborative learning flow pattern (jigsaw) in the telepresence classroom. From these experiments, the teacher and students workload was measured using the NASA-TXL questionnaire and supplemented with the Epistemic Network Analysis model to pinpoint key actions impacting the workload. The teacher agency was also assessed with another questionnaire. Finally, an interview was conducted with the teacher to gather more insights regarding the workload and agency. Results revealed a teacher workload score of 65.33 and 67.33, while student averages stood at 49.03 and 58.65 on a 0-100 scale. The data collected also served to identify potential factors influencing the workload, such as available time or the need for increased effort. Potential factors affecting teacher agency, such as decision-making challenges and tool limitations, were also identified.

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Student and teacher impact on the use of telepresence classrooms

Martín,

Alario-Hoyos,

Moreno-Marcos

et al. 2024

Educ Inf Technol

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Investigating teacher orchestration load in scripted CSCL: A multimodal data analysis perspective

Hakami,

Hernández‐Leo,

Amarasinghe

et al. 2024

Brit J Educational Tech

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Despite the growing interest in using multimodal data to analyse students' actions in Computers‐Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex technology‐supported learning environments on teacher performance. A combination of multimodal data may aid in understanding teachers' orchestration actions and, as a result, gain insights regarding the orchestration load teachers perceive in scripted CSCL situations. Studying teacher orchestration load in CSCL helps understand the workload teachers experience while facilitating student collaboration and assists in informing design decisions for teacher supporting tools. In this paper, we collect and analyse data from different modalities (i.e. electrodermal activity, observation notes, log data, dashboard screen recordings and responses to self‐reported questionnaires) to study teachers' orchestration load in scripted CSCL. A tool called PyramidApp was used to deploy CSCL activities and a teacher‐facing dashboard was used to facilitate teachers in managing collaboration in real time. The findings of the study show the potential of multimodal data analysis in investigating and estimating the orchestration load experienced by teachers in scripted CSCL activities. Study findings further demonstrate factors emerging from multimodal data such as task type, activity duration, and number of students influenced teachers' orchestration load.

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Estimating Orchestration Load in CSCL Situations Using EDA

Cited by 2 publications

References 21 publications

Student and teacher impact on the use of telepresence classrooms

Student and teacher impact on the use of telepresence classrooms

Investigating teacher orchestration load in scripted CSCL: A multimodal data analysis perspective

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