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Title: Teacher Orchestration Load: What Is It and How Can We Lower the Burden?
Authors: Amarasinghe, Ishari
van Leeuwen, Anouschka
Dimitriadis, Yannis
Martínez-Monés, Alejandra
Hernández-Leo, Davinia
Hoppe, H. Ulrich
Wiley, Korah
Martinez-Maldonado, Roberto
Keywords: orchestration load
learning analytics
teacher support tools
Issue Date: Mar-2022
Publisher: Digital Promise and the International Society of the Learning Sciences
Abstract: This report provides details of a workshop conducted as an online pre-conference event during the ISLS Annual Meeting 2021. The workshop consisted of two main adjoining parts focusing on its two themes: orchestration load and related teacher support tools. The main findings of the workshop showed that (1) a definition of orchestration load requires further elaboration, (2) there are limited ways to measure this notion, and (3) attention should be paid to sharing orchestration load among other actors, e.g., students, intelligent agents, that may facilitate the simplification of activity regulation. Balancing orchestration load among multiple actors may lower the load experienced by the teachers in real-time in authentic educational contexts.
Appears in Collections:Workshop Outcomes

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