Publication:
Using computer analyses to improve student writing outcomes

dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorFooks, Ian Peteren_US
dc.date.accessioned2024-10-08T08:35:26Z
dc.date.available2024-10-08T08:35:26Z
dc.date.issued2019
dc.description.abstractThis research endeavoured to investigate the effectiveness of teaching writing to 52 ESL students using lesson content based on computer analyses. The effectiveness of the teaching was determined by examining the changes in 76 language features analysed by Coh-Metrix 3.0, and changes in holistic scores and component scores obtained through the ESL Composition Profile. Coh-Metrix was also used to analyse eight well-written essays to create a Genre Target Profile which referenced Coh-Metrix norms for Language Arts. The subjects were required to write an essay following each of four lessons. These essays were analysed to determine areas of strength and weakness. This data was then compared with the Genre Target Profile and grade level equivalents showed whether measures of individual language features were too low or too high. Lesson content for the control group strictly followed the order of the course materials, whereas content for each treatment group lesson was based on Coh-Metrix analyses of the essays submitted following the previous lesson. A fifth lesson was used to return the final essay, answer questions and teach content requested by the subjects. Paired-sample t-tests were used to determine the significance of changes from one essay to the next and between Essay 1 and Essay 4. The findings show that changes in language features for both groups fluctuated from essay to essay. Changes in language features between Essay 1 and Essay 4 show that the treatment group improved in 48 features, of which four also showed a statistically significant improvement. In contrast, the control group improved in only 38 features; improvements in three of these were statistically significant. Positive changes were also seen in both groups’ overall writing proficiency according to the ESL Composition Profile. Additionally, the treatment group slightly outperformed the control group with regard to the number of positive changes in component scores of the ESL Composition Profile. The findings of this research indicate that Coh-Metrix is a tool that can assist classroom teachers create profiles of their students and identify areas of strength and weakness in order to prepare more effective lessons.en_US
dc.description.degreelevelMasteren_US
dc.description.identifierThesis : Using computer analyses to improve student writing outcomes /by Ian Peter Fooksen_US
dc.description.identityt11100408828IanPeterFooksen_US
dc.description.kulliyahKulliyyah of Educationen_US
dc.description.notesThesis (MED)--International Islamic University Malaysia, 2019.en_US
dc.description.physicaldescriptionxiii, 168 leaves :illustrations ;30cm.en_US
dc.description.programmeMaster of Education (Teaching English as a Second Language).en_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/10560
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/Cfleq5cL5k9IG7wtka19K6FuYvW56qcG20200116121724274
dc.language.isoenen_US
dc.publisherKuala Lumpur :International Islamic University Malaysia,2019en_US
dc.rightsCopyright International Islamic University Malaysia
dc.titleUsing computer analyses to improve student writing outcomesen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication

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