The design and development of the MetAR framework for designing an augmented reality application based on experts' consensus

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH International Journal of Learning Technology Pub Date : 2023-01-01 DOI:10.1504/ijlt.2023.132750
Siet Fah Lim, Yusri Kamin
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Abstract

This study aims to design and develop a framework for designing a metacognitive-supported augmented reality application for teaching and learning basic pneumatic systems. This multi-method study with the fuzzy delphi method (FDM) and interpretive structural modelling (ISM) approach involved 12 experts in multidisciplinary fields. The data was collected using seven Likert-type scale questionnaires. The design phase of the framework using the FDM found that the expert consensus for all principal components and the elements is greater than 75% with the threshold value, d ≤ 0.2. In contrast, the development phase of the framework was performed based on experts' voting using the ISM approach. The Concept Star software was used to develop the sequence of the elements based on their priority from every principal component to produce the MetAR design framework.
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基于专家共识的增强现实应用MetAR框架的设计与开发
本研究旨在设计和开发一个框架,设计一个元认知支持的增强现实应用程序,用于基本气动系统的教学和学习。采用模糊德尔菲法(FDM)和解释结构建模(ISM)方法进行的多方法研究涉及12名多学科专家。数据采用7份李克特式问卷收集。框架设计阶段使用FDM发现,专家对所有主成分和要素的共识度大于75%,阈值d≤0.2。相比之下,框架的开发阶段是基于使用ISM方法的专家投票进行的。Concept Star软件用于根据每个主要组件的优先级来开发元素序列,从而产生MetAR设计框架。
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来源期刊
International Journal of Learning Technology
International Journal of Learning Technology EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
1.20
自引率
16.70%
发文量
9
期刊介绍: IJLT is an international, refereed, scholarly journal providing an interdisciplinary forum for the presentation and discussion of important ideas, concepts, and exemplars that can deeply influence the role of learning technologies in learning and instruction. This unique and dynamic journal focuses on the epistemological thrust of learning vis-à-vis instruction and the technologies and tools that support the process. IJLT publishes papers related to theoretical foundations, design and implementation, and effectiveness and impact issues related to learning technologies. Topics covered include: -Communities of learners (practice), computer-mediated communication -[Social] constructivism, computer-supported collaborative learning -Cognitive tools, intelligent agents, semantic web -Distributed/intelligent learning/tutoring, multimedia/interactive learning environments -Virtual reality environments, human-computer interface issues -Learning objects for personalised learning, building learning communities -Technology-facilitated learning in complex domains -Learning technology systems'' evaluation, technological standardisation -Simulation-supported learning/instruction -Learning technology in education and commerce -Disciplinary-related inquiry, e.g., learning technologies for science inquiry -MOOCs, social media and cloud computing in e-learning -Data analytics and big data in education -E-learning evaluation and content; e-portfolios -Smart education; internet of things/technology adoption and diffusion for learning
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