Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.]
Recent advances in information and communication technology (ICT) infrastructure can be harnessed to support and improve the quality of teaching and learning of English writing skills especially for second language context where rule based support is necessary. Essay writing is indeed the most deman...
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Penerbit UiTM (UiTM Press) and I-learn Centre
2016
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Online Access: | http://ir.uitm.edu.my/id/eprint/16124/ http://ir.uitm.edu.my/id/eprint/16124/1/AJ_SING%20YII%20NG%20IJEL%2016.pdf |
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uitm-161242017-02-16T03:14:19Z http://ir.uitm.edu.my/id/eprint/16124/ Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] Ng, Sing Yii Bong, Chih How Lee, Nung Kion Hong, Kian Sam Multilingualism and literature Second language acquisition Malaysia Recent advances in information and communication technology (ICT) infrastructure can be harnessed to support and improve the quality of teaching and learning of English writing skills especially for second language context where rule based support is necessary. Essay writing is indeed the most demanding tasks to both teachers and students. From conducting the class to the assigning of task as well as marking and providing feedback from teachers, whereas from drafting essays to final submission and resubmission of essays by students require on-going iterative cycles to facilitate improvement. However, a common scenario is that the iterative process takes too much time, thus resulting in limited practice. An innovative solution to imitate such process is via the Automated Essay Scoring Feedback (AESF). AESF is a networked tool that has the ability to score and provide feedback to students' essays instantaneously. With the speed that exceeds human ability and accuracy of a human scorer, it is hoped that AESF can increase the frequency of essay writing in the class that eventually results in improvement in students 'performance. This paper aims to highlight the novelty and rationale of having AESF, its design and features as well as how this tool can be blended into the writing classroom, particularly for the Malaysian University English Test (MUET) extended essay writing. Penerbit UiTM (UiTM Press) and I-learn Centre 2016 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/16124/1/AJ_SING%20YII%20NG%20IJEL%2016.pdf Ng, Sing Yii and Bong, Chih How and Lee, Nung Kion and Hong, Kian Sam (2016) Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.]. International Journal on E-Learning and Higher Education, 4. pp. 130-143. ISSN 1985-8620 |
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Digital Repository |
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Local University |
institution |
Universiti Teknologi MARA |
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UiTM Institutional Repository |
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Online Access |
language |
English |
topic |
Multilingualism and literature Second language acquisition Malaysia |
spellingShingle |
Multilingualism and literature Second language acquisition Malaysia Ng, Sing Yii Bong, Chih How Lee, Nung Kion Hong, Kian Sam Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
description |
Recent advances in information and communication technology (ICT) infrastructure can be harnessed to support and improve the quality of teaching and learning of English writing skills especially for second language context where rule based support is necessary. Essay writing is indeed the most demanding tasks to both teachers and students. From conducting the class to the assigning of task as well as marking and providing feedback from teachers, whereas from drafting essays to final submission and resubmission of essays by students require on-going iterative cycles to facilitate improvement. However, a common scenario is that the iterative process takes too much time, thus resulting in limited practice. An innovative solution to imitate such process is via the Automated Essay Scoring Feedback (AESF). AESF is a networked tool that has the ability to score and provide feedback to students' essays instantaneously. With the speed that exceeds human ability and accuracy of a human scorer, it is hoped that AESF can increase the frequency of essay writing in the class that eventually results in improvement in students 'performance. This paper aims to highlight the novelty and rationale of having AESF, its design and features as well as how this tool can be blended into the writing classroom, particularly for the Malaysian University English Test (MUET) extended essay writing. |
format |
Article |
author |
Ng, Sing Yii Bong, Chih How Lee, Nung Kion Hong, Kian Sam |
author_facet |
Ng, Sing Yii Bong, Chih How Lee, Nung Kion Hong, Kian Sam |
author_sort |
Ng, Sing Yii |
title |
Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
title_short |
Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
title_full |
Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
title_fullStr |
Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
title_full_unstemmed |
Automated Essay Scoring Feedback (AESF): an innovative writing solution to the Malaysian University English Test (MUET) / Sing Yii Ng … [et al.] |
title_sort |
automated essay scoring feedback (aesf): an innovative writing solution to the malaysian university english test (muet) / sing yii ng … [et al.] |
publisher |
Penerbit UiTM (UiTM Press) and I-learn Centre |
publishDate |
2016 |
url |
http://ir.uitm.edu.my/id/eprint/16124/ http://ir.uitm.edu.my/id/eprint/16124/1/AJ_SING%20YII%20NG%20IJEL%2016.pdf |
first_indexed |
2023-09-18T22:55:22Z |
last_indexed |
2023-09-18T22:55:22Z |
_version_ |
1777417818082377728 |