Statistical approach on grading the student achievement via mixture modelling
The purpose of this study is to compare results obtained from assigning letter grades to student achievement. These methods referred as assessment which is takes place at the end of semester period to measure the The conventional and the most popular method to assign grades is the Statistical approa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2006
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| Online Access: | http://eprints.utm.my/8022/ http://eprints.utm.my/8022/1/ZairulNorDeanaMdDesa2006_StatisticalApproachonGradingTheStudent.pdf |
| _version_ | 1848891602805719040 |
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| author | Md. Desa, Zairul Nor Deana Mohamad, lsmail |
| author_facet | Md. Desa, Zairul Nor Deana Mohamad, lsmail |
| author_sort | Md. Desa, Zairul Nor Deana |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | The purpose of this study is to compare results obtained from assigning letter grades to student achievement. These methods referred as assessment which is takes place at the end of semester period to measure the The conventional and the most popular method to assign grades is the Statistical approaches which used the Standard Deviation and conditional considered to assign the grades. In the conditional Bayesian model, we assume the Normal Mixture distribution where the grades are distinctively separated means and proportions of the Normal Mixture distribution. The problem posterior density of the parameters which is analytically intractable. A solution using the Markov Chain Monte Carlo approach namely Gibbs sampler algorithm. Scale, Standard Deviation and Conditional Bayesian methods are applied to scores of 560 students. The performances of these methods are measured using Loss, Lenient Class Loss and Coefficient of Determination. The results showed Bayesian performed out the Conventional Methods of assigning grades. |
| first_indexed | 2025-11-15T21:00:35Z |
| format | Article |
| id | utm-8022 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:00:35Z |
| publishDate | 2006 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-80222017-11-01T04:17:29Z http://eprints.utm.my/8022/ Statistical approach on grading the student achievement via mixture modelling Md. Desa, Zairul Nor Deana Mohamad, lsmail LB Theory and practice of education QA Mathematics L Education (General) The purpose of this study is to compare results obtained from assigning letter grades to student achievement. These methods referred as assessment which is takes place at the end of semester period to measure the The conventional and the most popular method to assign grades is the Statistical approaches which used the Standard Deviation and conditional considered to assign the grades. In the conditional Bayesian model, we assume the Normal Mixture distribution where the grades are distinctively separated means and proportions of the Normal Mixture distribution. The problem posterior density of the parameters which is analytically intractable. A solution using the Markov Chain Monte Carlo approach namely Gibbs sampler algorithm. Scale, Standard Deviation and Conditional Bayesian methods are applied to scores of 560 students. The performances of these methods are measured using Loss, Lenient Class Loss and Coefficient of Determination. The results showed Bayesian performed out the Conventional Methods of assigning grades. Penerbit UTM Press 2006-10-11 Article PeerReviewed application/pdf en http://eprints.utm.my/8022/1/ZairulNorDeanaMdDesa2006_StatisticalApproachonGradingTheStudent.pdf Md. Desa, Zairul Nor Deana and Mohamad, lsmail (2006) Statistical approach on grading the student achievement via mixture modelling. Jurnal Pendidikan Universiti Teknologi Malaysia, 11 . pp. 63-78. ISSN 1394-1801 |
| spellingShingle | LB Theory and practice of education QA Mathematics L Education (General) Md. Desa, Zairul Nor Deana Mohamad, lsmail Statistical approach on grading the student achievement via mixture modelling |
| title | Statistical approach on grading the student achievement via mixture modelling |
| title_full | Statistical approach on grading the student achievement via mixture modelling |
| title_fullStr | Statistical approach on grading the student achievement via mixture modelling |
| title_full_unstemmed | Statistical approach on grading the student achievement via mixture modelling |
| title_short | Statistical approach on grading the student achievement via mixture modelling |
| title_sort | statistical approach on grading the student achievement via mixture modelling |
| topic | LB Theory and practice of education QA Mathematics L Education (General) |
| url | http://eprints.utm.my/8022/ http://eprints.utm.my/8022/1/ZairulNorDeanaMdDesa2006_StatisticalApproachonGradingTheStudent.pdf |