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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

Mohamad Hardyman Barawi

Siti Nabilah Mohamed Osman

Noor Fazilla Abd Yusof

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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Publisher Licence URL
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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