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Journal Articles Journal of Computer Assisted Learning Year : 2023

Towards tailored cognitive support in augmented reality assembly work instructions

Abstract

Bakground: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives This study sought to explore how varying the instructional support in AR can affect performance‐related behaviours of students with low cognitive abilities during assembly work. Methods A total of 90 Belgian secondary school students repeatedly executed four different realistic assembly tasks. Three levels of instructional support (low, medium, and high) in AR as well as a control condition with paper instructions with a high level of detail were systematically varied across tasks and participants. Results and Conclusions Multilevel regression analyses showed that AR instructions yielded lower assembly times and a lower perceived physical effort than paper instructions. Additionally, participants perceived tasks as less complex when given AR instructions with a high or a medium level of detail than when given a low level of detail. No effects of instructional support were established for other performance‐related behaviours, namely necessary assistance, error‐making, cognitive load, competence frustration, and stress. Effect sizes were small, at least among the instructional support conditions studied, yielding a limited base for adaptivity. Presumably, tailoring the instructional support in AR is only beneficial for highly complex tasks. The results might be useful for the design and implementation of AR in educational settings.
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hal-04328744 , version 1 (07-12-2023)

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Pieter Vanneste, Kim Dekeyser, Luis Alberto Pinos Ullauri, Dries Debeer, Frederik Cornillie, et al.. Towards tailored cognitive support in augmented reality assembly work instructions. Journal of Computer Assisted Learning, 2023, ⟨10.1111/jcal.12916⟩. ⟨hal-04328744⟩
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