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:	http://ir.uitm.edu.my/id/eprint/5440/ http://ir.uitm.edu.my/id/eprint/5440/1/TP_ANEALKA%20AZIZ%20HUSSIN%20ED%2010_5%201.pdf

id	uitm-5440
recordtype	eprints
spelling	uitm-54402016-11-26T03:02:46Z http://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 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/5440/1/TP_ANEALKA%20AZIZ%20HUSSIN%20ED%2010_5%201.pdf Aziz Hussin, Anealka (2010) Computational text analysis of intermediate and high intermediate reading passages for ESL learners / Anealka Aziz Hussin. PhD thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
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	http://ir.uitm.edu.my/id/eprint/5440/ http://ir.uitm.edu.my/id/eprint/5440/1/TP_ANEALKA%20AZIZ%20HUSSIN%20ED%2010_5%201.pdf
first_indexed	2023-09-18T22:47:05Z
last_indexed	2023-09-18T22:47:05Z
_version_	1777417296975757312

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

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