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Mudahnya BM: A Context-Aware Mobile Cloud Learning Application Using Semantic-Based Approach

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Advances in Visual Informatics (IVIC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13051))

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Abstract

A great potential of various learning environment in mobile learning application can clearly be seen in current pandemic situation. The accessibility of the learning resources needs to be available from anywhere anytime despite having strong or poor internet connection. It has motivated researchers to imply context-aware capability in improving the accessibility of the learning resources. This paper presents a development process of Mudahnya BM mobile application that follows a fundamental concept of Mobile Cloud Learning (MCL). Mudahnya BM is an application to learn basic Malay language for learner 7–12 years old. The injection of extrinsic and intrinsic context-aware help the application to improve the reasoning process for finding available learning resources from service providers. Semantic-based approach is applied in the reasoning process. This study involved the end users for evaluation purposes. 33 randomized scenarios have been tested using One-Sample Wilcoxon Signed Rank test. The result shows a positive impact to the population.

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Acknowledgement

Thank you to Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM) for the financial support.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Department of Software Engineering and Information System, Universiti Putra Malaysia, 43400, Seri Kembangan, Selangor, Malaysia

    Sufri Muhammad, Novia Admodisastro, Hafeez Osman & Norhayati Mohd Ali

Authors
  1. Sufri Muhammad
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  2. Novia Admodisastro
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  3. Hafeez Osman
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  4. Norhayati Mohd Ali
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Corresponding author

Correspondence to Sufri Muhammad .

Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  4. Queen Mary University of London, London, UK

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  7. Universiti Tenaga Nasional, Selangor, Malaysia

    Hazleen Aris

  8. Universiti Tenaga Nasional, Selangor, Malaysia

    Nazrita Ibrahim

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Muhammad, S., Admodisastro, N., Osman, H., Mohd Ali, N. (2021). Mudahnya BM: A Context-Aware Mobile Cloud Learning Application Using Semantic-Based Approach. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_20

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  • DOI: https://doi.org/10.1007/978-3-030-90235-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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