Author
Listed:
- Simon Jiack Anak Aaron
(Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia)
- Zamri Mahamod
(Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia)
Abstract
This concept paper examines the integration of Artificial Intelligence (AI) in enhancing Malay language literacy education, with a particular focus on reading, writing, speaking, and listening skills. Literacy remains a pressing issue in Malaysia, especially in rural schools where students continue to struggle with foundational skills despite government initiatives. Drawing on past and recent studies, the paper highlights that AI technologies—particularly Natural Language Processing (NLP) and Automatic Speech Recognition (ASR)—offer opportunities to create personalized, adaptive, and engaging learning experiences. Research indicates that AI applications can provide real-time feedback, support vocabulary and grammar development, and enable autonomous practice in pronunciation and listening. These affordances make AI an important complement to traditional pedagogy, especially in contexts where teachers face constraints in time, resources, or training. However, the adoption of AI in literacy education also faces several challenges. Infrastructural limitations, such as poor internet connectivity and lack of devices in rural areas, remain major barriers. Teacher readiness is another critical factor, as many educators lack training in digital pedagogy and confidence in applying AI tools. In addition, the linguistic complexity of Malay—its morphology, affixation, and dialectal diversity—complicates the use of global AI tools that are primarily designed for English or Mandarin. Ethical concerns, including data privacy and algorithmic bias, further underscore the need for responsible AI integration. The paper proposes solutions such as developing localized Malay NLP and ASR systems, expanding teacher professional development, and investing in infrastructure to ensure equitable access. It concludes that AI, if localized and carefully implemented, has the potential to reduce literacy gaps and contribute to Malaysia’s broader educational goals.
Suggested Citation
Simon Jiack Anak Aaron & Zamri Mahamod, 2025.
"Artificial Intelligence (AI) Technology in Learning Malay Language Literacy Skills among Students,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 5982-5986, September.
Handle:
RePEc:bcp:journl:v:9:y:2025:issue-9:p:5982-5986
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:5982-5986. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.