Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
<p>This research aims to assist the educational institutions, teachers and students for the</p><p>selection of augmented reality (AR) educational applications. Educational institutions face</p><p>the challenge of evaluating and se...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | thesis |
| اللغة: | eng |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ir.upsi.edu.my/detailsg.php?det=7068 |
| الوسوم: |
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| الملخص: | <p>This research aims to assist the educational institutions, teachers and students for the</p><p>selection of augmented reality (AR) educational applications. Educational institutions face</p><p>the challenge of evaluating and selecting educational AR applications particularly.</p><p>Therefore, the main problem is the appropriate selection of instructional augmented reality</p><p>applications. Framework was proposed to aid the educational institutions in selection and</p><p>ranking the available AR educational applications to select the best one. Improper selection</p><p>decisions may cause educational institutions to lose time, effort, and financial costs. The</p><p>evaluation and benchmarking of AR educational applications are challenging because of</p><p>the multiple conflicting evaluation criteria. This study constructed a decision matrix (DM)</p><p>based on the crossover of the three evaluation perspectives (usability, immersing and user</p><p>perspective) with six AR educational applications. The matrix was evaluated using the</p><p>criteria developed from the evaluation of 15 experts. The alternatives were evaluated by 13</p><p>users. Then asked to answer a questionnaire consisting of 90 questions for each application</p><p>.The AR educational applications were then selected and ranked using multi-criteria</p><p>decision-making techniques, including the Analytic Hierarchy Process (AHP), ENTROPY</p><p>and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). AHP was</p><p>applied to calculate the weights of the main evaluation criteria, ENTROPY to calculate the</p><p>weights for evaluation sub-criteria and VIKOR to select and rank the AR educational</p><p>applications. The results showed that (1) the integration of AHP, ENTROPY and VIKOR</p><p>effectively solved the AR educational applications benchmarking\selection problems. (2)</p><p>The rankings of the AR educational applications obtained from internal and external</p><p>VIKOR group decision making were almost the same.</p><p>(3) The best AR educational application was more immersive and more usable. In the</p><p>objective validation, significant differences were recognized between the groups scores,</p><p>thereby indicating that the ranking results of internal and external VIKOR group decision</p><p>making were valid.</p> |
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