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Proceedings of the 2nd International Conference on Design Industries & Creative Culture, DESIGN DECODED 2021, 24-25 August 2021, Kedah, Malaysia

Research Article

Mobile-based Visual Decision Support System for Hybrid Learning in Post-COVID-19 Pandemic

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  • @INPROCEEDINGS{10.4108/eai.24-8-2021.2315175,
        author={Ahmad Faiz  Ghazali and Aishah  Suhaimi and Rahmawati  Mohd Yusoff and Nurkhairany Amyra  Mokhtar},
        title={Mobile-based Visual Decision Support System for Hybrid Learning in Post-COVID-19 Pandemic},
        proceedings={Proceedings of the 2nd International Conference on Design Industries \& Creative Culture, DESIGN DECODED 2021, 24-25 August 2021, Kedah, Malaysia},
        publisher={EAI},
        proceedings_a={DESIGN-DECODED},
        year={2022},
        month={3},
        keywords={art and design decision support system (dss) multiple attribute decision-making (madm) decision-maker hybrid learning},
        doi={10.4108/eai.24-8-2021.2315175}
    }
    
  • Ahmad Faiz Ghazali
    Aishah Suhaimi
    Rahmawati Mohd Yusoff
    Nurkhairany Amyra Mokhtar
    Year: 2022
    Mobile-based Visual Decision Support System for Hybrid Learning in Post-COVID-19 Pandemic
    DESIGN-DECODED
    EAI
    DOI: 10.4108/eai.24-8-2021.2315175
Ahmad Faiz Ghazali1,*, Aishah Suhaimi1, Rahmawati Mohd Yusoff1, Nurkhairany Amyra Mokhtar1
  • 1: Universiti Teknologi MARA Cawangan Johor Kampus Segamat
*Contact email: faizghazali@uitm.edu.my

Abstract

The decision-makers which are the stakeholders of educational institutions are much concerned about the whole aspects especially their decisions since the emergence of COVID-19 pandemic. Mobile-based applications has been increasingly used and created since then. Hybrid learning which is the combination of online and distance learning (ODL) with face-to-face (F2F) learning that can be managed by the decision-makers of higher education institutions using mobile-based visual decision support system (VDSS) applications. A ranking method that is multiple attribute decision-making (MADM) can be utilized which can be integrated with core engine of business intelligence and analytics (BI&A) to get insights to analyze data. Art and design of user interface (UI) can support decision-makers’ user experience (UX). In conclusion, art and design creativity together with computer and mathematical science methods are useful for the development of applications towards managing ODL, F2F and hybrid learning.

Keywords
art and design decision support system (dss) multiple attribute decision-making (madm) decision-maker hybrid learning
Published
2022-03-25
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-8-2021.2315175
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