Mobile Learning for Manually Coded Malay Sign Language Using Augmented Reality

Authors

  • Raz Nur Izzatu Abdul Razak Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, 86400, MALAYSIA
  • Norhalina Senan Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, 86400, MALAYSIA

Keywords:

Manually coded malay, mobile learning, Augmented Reality, ADDIE model, System Usability Scale (SUS)

Abstract

lagging in education as compared to their hearing peers. This can affect their communication skills and affect their academic achievement. However, the existing applications developed for sign language education have a few drawbacks, such as only consisting of a Learning Module, and the media used was only learning videos. Hence, the Mobile Learning for Manually Coded Malay Sign Language using Augmented Reality (KTBM AR) is developed to provide users with Learning and Activity Modules where users can interact with and test their knowledge. Not only that, but KTBM AR also included Augmented Reality (AR) as an interactive learning medium to engage users more in learning. The methodology used in developing this application is the ADDIE model, which comprises five main phases: analysis, design, development, implementation, and evaluation. The result from testing shows that the application was successfully developed with a range of 94% acceptable according to the System Usability Scale (SUS). Thus, it can be concluded that KTBM AR is suitable to be implemented in sign language learning.

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Published

01-06-2022

Issue

Section

Articles

How to Cite

Abdul Razak, R. N. I., & Senan, N. (2022). Mobile Learning for Manually Coded Malay Sign Language Using Augmented Reality. Journal of Soft Computing and Data Mining, 3(1), 86-94. https://publisher.uthm.edu.my/ojs/index.php/jscdm/article/view/11668