Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods

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...

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Main Author: Al-Shafee, Ghailan Abbood Khudhair
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Language:eng
Published: 2021
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Al-Shafee, Ghailan Abbood Khudhair
Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
description <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>
format thesis
qualification_name
qualification_level Doctorate
author Al-Shafee, Ghailan Abbood Khudhair
author_facet Al-Shafee, Ghailan Abbood Khudhair
author_sort Al-Shafee, Ghailan Abbood Khudhair
title Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
title_short Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
title_full Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
title_fullStr Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
title_full_unstemmed Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods
title_sort augmented realty (ar) in education: assessment and ranking framework based on fuzzy delphi and hybrid of ahp entropy and vikor methods
granting_institution Universiti Pendidikan Sultan Idris
granting_department Fakulti Seni, Komputeran dan Industri Kreatif
publishDate 2021
url https://ir.upsi.edu.my/detailsg.php?det=7068
_version_ 1747833350475743232
spelling oai:ir.upsi.edu.my:70682022-05-18 Augmented realty (AR) in education: assessment and ranking framework based on fuzzy delphi and hybrid of AHP entropy and vikor methods 2021 Al-Shafee, Ghailan Abbood Khudhair N/A <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> 2021 thesis https://ir.upsi.edu.my/detailsg.php?det=7068 https://ir.upsi.edu.my/detailsg.php?det=7068 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif <p>Abdullateef, B. N., Elias, N. F., Mohamed, H., Zaidan, A., & Zaidan, B. (2016a). An</p><p>evaluation and selection problems of OSS-LMS packages. SpringerPlus, 5(1), 248.</p><p></p><p>Abdullateef, B. N., Elias, N. F., Mohamed, H., Zaidan, A. A., & Zaidan, B. B. (2016b). An</p><p>evaluation and selection problems of OSS-LMS packages. SpringerPlus, 5(1), 248.</p><p>Retrieved from https://doi.org/10.1186/s40064-016-1828-y. doi:10.1186/s40064-</p><p>016-1828-y</p><p></p><p>Adunlin, G., Diaby, V., & Xiao, H. (2015). 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Interfaces, 9(4), 94-101.</p><p></p><p></p><p>LIST OF PUBLICATION</p><p></p><p>Published and Accepted Papers</p><p></p><p> GA Alshafeey et. al, 2019, Augmented Reality for the Disabled: Review Articles.</p><p>Journal of ICT in Education 1, 46-57,</p><p></p><p> GA Alshafeey et. al, 2014, DESKTOP VIRTUALISATION AS A TOOL TO</p><p>SUPPORT IT VIRTUAL TEAM, Infrastructure University Kuala Lumpur</p><p>Research Journal Vol. 2 No. 1 (2014).</p><p></p><p> MA Chyad, HA Alsattar, BB Zaidan, AA Zaidan, GA Al Shafeey , The Landscape</p><p>of Research on Skin Detectors: Coherent Taxonomy, Open Challenges,</p><p>Motivations, Recommendations and Statistical Analysis, Future Directions , IEEE</p><p>Access 7, 106536-106575.</p><p></p><p> AH Alamoodi, BB Zaidan, AA Zaidan, SM Samuri, AR Ismail, O Zughoul, A</p><p>review of data analysis for early-childhood period: taxonomy, motivations,</p><p>challenges, recommendation, and methodological aspects , IEEE Access 7, 51069-</p><p>51103.</p><p></p><p> OS Albahri, AS Albahri, AA Zaidan, BB Zaidan, MA Alsalem, AH Mohsin, Faulttolerant</p><p>mHealth framework in the context of IoT-based real-time wearable health</p><p>data sensors , IEEE Access 7, 50052-50080.</p><p></p><p> AS Albahri, OS Albahri, AA Zaidan, BB Zaidan, M Hashim, MA Alsalem, Based</p><p>multiple heterogeneous wearable sensors: A smart real-time health monitoring</p><p>structured for hospitals distributor , IEEE Access 7, 37269-37323.</p><p></p><p></p><p></p>

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