Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Orchestration Load and Teacher Agency in Smart Synchronous Hybrid Learning Environments

Version 1 : Received: 4 July 2023 / Approved: 5 July 2023 / Online: 6 July 2023 (15:50:21 CEST)

A peer-reviewed article of this Preprint also exists.

Carruana Martín, A.; Alario-Hoyos, C.; Delgado Kloos, C. A Study of Student and Teacher Challenges in Smart Synchronous Hybrid Learning Environments. Sustainability 2023, 15, 11694. Carruana Martín, A.; Alario-Hoyos, C.; Delgado Kloos, C. A Study of Student and Teacher Challenges in Smart Synchronous Hybrid Learning Environments. Sustainability 2023, 15, 11694.

Abstract

The COVID-19 pandemic has led to the growth of hybrid and online learning environments and the trend to introduce more technology into the classroom. One such change would be the use of smart synchronous hybrid learning environments (SSHLE), which are settings with both in-person and online students concurrently, and in which technology plays a key role in sensing, analyzing, and reacting throughout the teaching and learning process. These changing environments and the incorporation of new technologies can place a greater orchestration load on participants and a reduction in teacher agency. In this context, the aim of this paper is to analyse the orchestration load and teacher agency in different SSHLEs. The NASA-TLX model was used to measure the orchestration load in several scenarios. Questionnaires and interviews were used to measure teacher agency. The results obtained indicate that the orchestration load of the teacher tends to be high (between 60 and 70 points out of 100 of the NASA-TLX workload), especially when they lack experience in synchronous hybrid learning environments, and the orchestration load of the students tends to have average values (between 50 and 60) in the SSHLEs analysed. Meanwhile, the teacher agency does not appear to be altered but shows potential for improvement.

Keywords

Hybrid Learning; Collaborative Learning; Orchestration load; Smart Learning Environments; Teacher agency.

Subject

Computer Science and Mathematics, Other

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