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Early Intervention Through Identification of Learners with Dyscalculia as Initial Analysis to Design AR Assistive Learning Application

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Advances in Visual Informatics (IVIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11870))

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Abstract

Learners who suffer from dyscalculia are unable to perform in mathematics. Plausible Assistive digital technology that are visual-based fusion technology, particularly Augmented Reality (AR) application, can assist dyscalculia learners perform arithmetic tasks such as addition, subtraction, multiplication, and division more effectively. This paper highlights early intervention through identification of dyscalculia learners in a national elementary school. The identification of dyscalculia learners was done through a screening instrument that combined of Mathematics Learning Ability (MLA) and Mathematics Learning Performance (MLP). The findings categorised the learners based on five main difficulties namely, memory, abstraction, sequencing processing, motor, and visual perception. However, the visual perception category showed most significant difficulty faced by dyscalculia learners in learning mathematics. The findings were used as initial analysis for Systems Requirement Specifications (SRS) that would be used to design and develop a visual-based fusion technology AR application for dyscalculia learners.

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Aknowledgement

This work was supported by the Universiti Kebangsaan Malaysia (UKM) Grand Challenge Grant (Grant no. AP-2017-0051).

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Authors and Affiliations

  1. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Kohilah Miundy, Halimah Badioze Zaman & Aliimran Nordin

  2. Nottingham University, Malaysia Campus, Semenyih, Selangor, Malaysia

    Kher Hui Ng

Authors
  1. Kohilah Miundy
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  2. Halimah Badioze Zaman
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  3. Aliimran Nordin
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  4. Kher Hui Ng
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Corresponding author

Correspondence to Halimah Badioze Zaman .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Taoyuan City, Taiwan

    Timothy K. Shih

  4. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Nazlena Mohamad Ali

  7. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Mohammad Nazir Ahmad

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Miundy, K., Zaman, H.B., Nordin, A., Ng, K.H. (2019). Early Intervention Through Identification of Learners with Dyscalculia as Initial Analysis to Design AR Assistive Learning Application. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_11

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  • DOI: https://doi.org/10.1007/978-3-030-34032-2_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34031-5

  • Online ISBN: 978-3-030-34032-2

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