Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin

The main concerns of the present study are on issues of matching reading materials to intended learners and standardizing reading materials difficulty level for learners with similar reading ability. This study intends to identify ways to improve the present practice of selecting and adapting readin...

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Main Author: Aziz Hussin, Anealka
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf
https://ir.uitm.edu.my/id/eprint/5440/
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spelling my.uitm.ir.54402022-12-16T04:05:12Z https://ir.uitm.edu.my/id/eprint/5440/ Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin Aziz Hussin, Anealka Educational technology Reading skills Educational tests and measurements The main concerns of the present study are on issues of matching reading materials to intended learners and standardizing reading materials difficulty level for learners with similar reading ability. This study intends to identify ways to improve the present practice of selecting and adapting reading materials for ESL learners so that the process can be done in a more objective, consistent and comprehensive manner. To do that, the study proceeds to determine text characteristics that can significantly differentiate the difficulty level of intermediate and high-intermediate reading passages (referred as IR and HIR passages respectively), determine additional predictors that can enhance the efficiency of the Flesch Reading Ease formula to estimate passage difficulty at sentence and word level and develop a set of instruments that can estimate the difficulty level of these passages in a more precise manner. The Descriptive Correlational approach is used as the research design for the study to achieve the above objectives. The samples of the study come from IR and HIR passages. Three computational tools, the Flesch Reading Ease formula, Writer's Workbench 8.18 and Word Smith Tools 4.0, are used to extract information related to passage difficulty at text, sentence and word level respectively. The study also replicates and improves on Vogel and Washbume's (1928) process of developing readability formula. Descriptive statistics namely mean, range and standard deviation, and inferential statistics such as t-test, correlational analysis and multiple regression analysis are used to analyze the data collected. 2010-03 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin. (2010) PhD thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/5440.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Educational technology
Reading skills
Educational tests and measurements
spellingShingle Educational technology
Reading skills
Educational tests and measurements
Aziz Hussin, Anealka
Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
description The main concerns of the present study are on issues of matching reading materials to intended learners and standardizing reading materials difficulty level for learners with similar reading ability. This study intends to identify ways to improve the present practice of selecting and adapting reading materials for ESL learners so that the process can be done in a more objective, consistent and comprehensive manner. To do that, the study proceeds to determine text characteristics that can significantly differentiate the difficulty level of intermediate and high-intermediate reading passages (referred as IR and HIR passages respectively), determine additional predictors that can enhance the efficiency of the Flesch Reading Ease formula to estimate passage difficulty at sentence and word level and develop a set of instruments that can estimate the difficulty level of these passages in a more precise manner. The Descriptive Correlational approach is used as the research design for the study to achieve the above objectives. The samples of the study come from IR and HIR passages. Three computational tools, the Flesch Reading Ease formula, Writer's Workbench 8.18 and Word Smith Tools 4.0, are used to extract information related to passage difficulty at text, sentence and word level respectively. The study also replicates and improves on Vogel and Washbume's (1928) process of developing readability formula. Descriptive statistics namely mean, range and standard deviation, and inferential statistics such as t-test, correlational analysis and multiple regression analysis are used to analyze the data collected.
format Thesis
author Aziz Hussin, Anealka
author_facet Aziz Hussin, Anealka
author_sort Aziz Hussin, Anealka
title Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
title_short Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
title_full Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
title_fullStr Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
title_full_unstemmed Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin
title_sort computational text analysis of intermediate and high intermediate reading passages for esl learners / anealka aziz hussin
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf
https://ir.uitm.edu.my/id/eprint/5440/
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score 13.211869