Exploring Augmented Reality's Influence on Cognitive Load and Emotional Dynamics Within AAV Training Environments

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Fatema Rahimi;Abolghasem Sadeghi-Niaraki;Houbing Song;Huihui Wang;Soo-Mi Choi
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引用次数: 0

Abstract

This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, electroencephalogram data gathering, and postexperiment questionnaires. In total, 12 participants, selected based on their English proficiency and lack of prior knowledge of the course material, engaged in AR-based learning, while a baseline reading condition was included to contextualize cognitive and emotional engagement. The study findings indicate that the AR group's participants demonstrated notably elevated attention and meditation levels, indicating heightened engagement and focus that is advantageous for efficient assimilation and retention of knowledge. Furthermore, AR learners reported feeling less tired and exhausted, which may have mitigated the negative emotional states that are frequently connected to learning activities. However, no significant differences in negative emotions were observed between the reading and AR groups. These results emphasize the value of customized AR environments for education goals and the need for more study to maximize learning outcomes and affective experiences in AR learning contexts.
探索增强现实对AAV训练环境中认知负荷和情绪动态的影响
本研究探讨了基于增强现实(AR)的学习中涉及的认知和情感过程。该研究采用综合方法考察学习成果、情绪反应、冥想和注意力,包括自我评估、脑电图数据收集和实验后问卷调查。总共有12名参与者,根据他们的英语水平和对课程材料缺乏先验知识的情况选择,参与基于ar的学习,同时包括基线阅读条件,以使认知和情感参与情境化。研究结果表明,AR组的参与者表现出显著提高的注意力和冥想水平,表明更高的参与度和注意力有利于有效地吸收和保留知识。此外,AR学习者报告说感觉不那么疲倦和疲惫,这可能减轻了经常与学习活动相关的负面情绪状态。然而,阅读组和AR组在负面情绪方面没有显著差异。这些结果强调了定制AR环境对教育目标的价值,以及需要更多的研究来最大化AR学习环境中的学习成果和情感体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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