Abstract
Educational environments have been affected by the COVID-19 pandemic and have evolved to support classes, which involve in some cases synchronous hybrid learning environments. These environments enable students attend classes online and on-site simultaneously. Synchronous hybrid environments provide a greater flexibility for students but, in contrast, are likely to increase teachers’ orchestration load and decrease interactions between students, especially between those online and those on-site. This study proposes a scenario to explore the factors affecting the orchestration load and the student interactions in collaborative and synchronous hybrid learning environments. The scenario involves the use of a collaborative learning flow pattern (jigsaw) and the technologies that will enable the data collection to understand such factors affecting to orchestration load and interaction. The outcomes from the implementation of this scenario will provide useful insights to further understand the benefits and limitations of synchronous hybrid learning environments.
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Acknowledgements
This work was supported in part by grant PID2020-112584RB-C31, PID2020-112584RB-C32 and PID2020-112584RB-C33 funded by MCIN/ AEI /10.13039/501100011033, and in part by the Madrid Regional Government through the e-Madrid-CM Project under Grant S2018/TCS-4307 and under the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M21), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation), a project which is co-funded by the European Structural Funds (FSE and FEDER). Partial support has also been received from the European Commission through Erasmus+ Capacity Building in the Field of Higher Education projects, more specifically through projects InnovaT and PROF-XXI (598758-EPP-1-2018-1-AT-EPPKA2-CBHE-JP), (609767-EPP-1-2019-1-ES-EPPKA2-CBHE-JP). This publication reflects the views only of the authors and funders cannot be held responsible for any use which may be made of the information contained therein.
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Carruana Martín, A., Ortega-Arranz, A., Alario-Hoyos, C., Amarasinghe, I., Hernández-Leo, D., Delgado Kloos, C. (2022). Scenario for Analysing Student Interactions and Orchestration Load in Collaborative and Hybrid Learning Environments. In: Wong, LH., Hayashi, Y., Collazos, C.A., Alvarez, C., Zurita, G., Baloian, N. (eds) Collaboration Technologies and Social Computing. CollabTech 2022. Lecture Notes in Computer Science, vol 13632. Springer, Cham. https://doi.org/10.1007/978-3-031-20218-6_21
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DOI: https://doi.org/10.1007/978-3-031-20218-6_21
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