Mohamad Hardyman Barawi
Using entropy to measure text readability in Bahasa Malaysia for year one students.
Barawi, Mohamad Hardyman; Osman, Siti Nabilah Mohamed; Abd Yusof, Noor Fazilla; Ibeke, Ebuka; Fadhli, Muhibuddin
Authors
Siti Nabilah Mohamed Osman
Noor Fazilla Abd Yusof
Dr Ebuka Ibeke e.ibeke@rgu.ac.uk
Lecturer
Muhibuddin Fadhli
Abstract
Text readability is essential for effective learning and communication, especially for beginner readers. However, there are no known measures to calculate the readability of Bahasa Malaysia, the national language of Malaysia. This research proposes a new method based on entropy, a measure of information and uncertainty, to assess the readability of Bahasa Malaysia texts for Year One students. An experiment was conducted with six Year One students to determine the relationship between entropy and readability. The results indicated a positive correlation, suggesting that higher entropy values corresponded with lower readability for this age group. This study also revealed the need for beginner readers to focus on the text difficulty level to enhance learning.
Citation
BARAWI, M.H., OSMAN, S.N.M., ABD YUSOF, N.F., IBEKE, E. and FADHLI, M. 2024. Using entropy to measure text readability in Bahasa Malaysia for year one students. Journal of cognitive sciences and human development [online], 10(1), pages 103-123. Available from: https://doi.org/10.33736/jcshd.6817.2024
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 27, 2024 |
Online Publication Date | Mar 31, 2024 |
Publication Date | Mar 31, 2024 |
Deposit Date | Apr 2, 2024 |
Publicly Available Date | Apr 2, 2024 |
Journal | Journal of cognitive sciences and human development |
Print ISSN | 2462-1153 |
Electronic ISSN | 2550-1623 |
Publisher | University of Malaysia Sarawak (UNIMAS) |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Issue | 1 |
Pages | 103-123 |
DOI | https://doi.org/10.33736/jcshd.6817.2024 |
Keywords | Readability; Reading; Text analysis; Text difficulty |
Public URL | https://rgu-repository.worktribe.com/output/2293570 |
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https://creativecommons.org/licenses/by-nc-sa/4.0/
Copyright Statement
© 2024 UNIMAS Publisher. This is an open-access article distributed under the terms of the CC-BY-NC-SA (Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original work of the author(s) is properly cited.
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