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:	Educational technology Reading skills Educational tests and measurements
Online Access:	https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf
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id	my-uitm-ir.5440
record_format	uketd_dc
spelling	my-uitm-ir.54402022-12-16T04:05:12Z Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin 2010-03 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 https://ir.uitm.edu.my/id/eprint/5440/ https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf text en public phd doctoral Universiti Teknologi MARA Faculty of Education Alsree, Zubaida (Professor Datin Dr) Chan, Yuen Fook (Assoc. Prof. Dr)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Alsree, Zubaida (Professor Datin Dr) Chan, Yuen Fook (Assoc. Prof. Dr)
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Education
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/5440/2/5440.pdf
_version_	1783733122100101120

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

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