Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]

Manual practice in formal examination does not assess accurate measure of a student’s ability, as it merely counts the score of every question to be considered for the student’s grade. There are many educators who have used raw score as a form of measurement for a student’s ability, but it never tru...

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Main Authors: Mamat, Mohd Nor, Temyati, Zawawi, Mahamood, Siti Fatahiyah, Musa, Hanifah
Format: Article
Language:English
Published: Penerbit UiTM (UiTM Press) 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/23555/
http://ir.uitm.edu.my/id/eprint/23555/1/AJ_MOHD%20NOR%20MAMAT%20SMRJ%2018.pdf
id uitm-23555
recordtype eprints
spelling uitm-235552019-04-22T03:25:41Z http://ir.uitm.edu.my/id/eprint/23555/ Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.] Mamat, Mohd Nor Temyati, Zawawi Mahamood, Siti Fatahiyah Musa, Hanifah Higher Education Institutions of higher education Manual practice in formal examination does not assess accurate measure of a student’s ability, as it merely counts the score of every question to be considered for the student’s grade. There are many educators who have used raw score as a form of measurement for a student’s ability, but it never truly measures the right measurement. The raw score should be converted into the right linear metrics for ability measurement. This procedure contains measuring score of accurate student’s ability in LOGIT unit, providing of student’s result profile, and measuring reliability of the test set and the student’s answers. The procedure is designed for massive open online learning and paperless essay-based test which is more difficult to be analysed. This procedure converts the student’s answer into rubrical ratio-based scale to be more accurately measured. It is definitely better than the common practice of merely analysis on raw marks for each question. It would show true student’s performance of cognitive performance (test) which represents the true student’s ability (in LOGIT unit), in order to accurately measure the right outcome. This new paradigm of assessment is fit to be applied for massive numbers on online students. It uses Rasch model which offers reliable solution in producing accurate ability marks for students, together with scientific reliability score for student’s answer. Penerbit UiTM (UiTM Press) 2018 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/23555/1/AJ_MOHD%20NOR%20MAMAT%20SMRJ%2018.pdf Mamat, Mohd Nor and Temyati, Zawawi and Mahamood, Siti Fatahiyah and Musa, Hanifah (2018) Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]. Social and Management Research Journal, 15 (2). pp. 23-34. ISSN 1675-7017
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Higher Education
Institutions of higher education
spellingShingle Higher Education
Institutions of higher education
Mamat, Mohd Nor
Temyati, Zawawi
Mahamood, Siti Fatahiyah
Musa, Hanifah
Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
description Manual practice in formal examination does not assess accurate measure of a student’s ability, as it merely counts the score of every question to be considered for the student’s grade. There are many educators who have used raw score as a form of measurement for a student’s ability, but it never truly measures the right measurement. The raw score should be converted into the right linear metrics for ability measurement. This procedure contains measuring score of accurate student’s ability in LOGIT unit, providing of student’s result profile, and measuring reliability of the test set and the student’s answers. The procedure is designed for massive open online learning and paperless essay-based test which is more difficult to be analysed. This procedure converts the student’s answer into rubrical ratio-based scale to be more accurately measured. It is definitely better than the common practice of merely analysis on raw marks for each question. It would show true student’s performance of cognitive performance (test) which represents the true student’s ability (in LOGIT unit), in order to accurately measure the right outcome. This new paradigm of assessment is fit to be applied for massive numbers on online students. It uses Rasch model which offers reliable solution in producing accurate ability marks for students, together with scientific reliability score for student’s answer.
format Article
author Mamat, Mohd Nor
Temyati, Zawawi
Mahamood, Siti Fatahiyah
Musa, Hanifah
author_facet Mamat, Mohd Nor
Temyati, Zawawi
Mahamood, Siti Fatahiyah
Musa, Hanifah
author_sort Mamat, Mohd Nor
title Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
title_short Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
title_full Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
title_fullStr Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
title_full_unstemmed Simplified reliable online essay test marking for Massive Open Online Course (MOC) using Rasch model analysis / Mohd Nor Mamat … [et al.]
title_sort simplified reliable online essay test marking for massive open online course (moc) using rasch model analysis / mohd nor mamat … [et al.]
publisher Penerbit UiTM (UiTM Press)
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/23555/
http://ir.uitm.edu.my/id/eprint/23555/1/AJ_MOHD%20NOR%20MAMAT%20SMRJ%2018.pdf
first_indexed 2023-09-18T23:10:55Z
last_indexed 2023-09-18T23:10:55Z
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