Rubric for Measuring Psychomotor and Affective Learning Domain.
Designing a reliable measurement of the psychomotor and affective learning domains is a major challenge. One assessment tool, the rubric, provides flexibility in assessing and improves grading consistencies. But students are not being assessed properly as only one rubric is used to evaluate differen...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 25S; pp. 101 - 109 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
May2017 Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=128930407&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 128930407 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: May2017 Special Issue vid: 25S pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 128930407 ppf: 101 ppct: 8 formats: fmt: @attributes: type: P size: 3.1MB tig: atl: Rubric for Measuring Psychomotor and Affective Learning Domain. aug: au: Nathan, Shelena Soosay Berahim, Mazniha Ramie, Rosni affil: Department of Information Technology, Centre for Diploma Studies, Universiti Tun Hussein Onn, 86400 Parit Raja, Batu Pahat, Johor, Malaysia su: Motor ability testing Affective education Grading of students Mathematical variables Social sciences sug: subj: Motor ability testing Affective education Grading of students Mathematical variables Social sciences keyword: affective Assessment ICC psychomotor rubric ab: Designing a reliable measurement of the psychomotor and affective learning domains is a major challenge. One assessment tool, the rubric, provides flexibility in assessing and improves grading consistencies. But students are not being assessed properly as only one rubric is used to evaluate different categories of a project, causing inconsistencies in grading. Thus, an assessment rubric for different categories of a project was created, incorporating the psychomotor and affective learning domains aligned with Bloom's Taxonomy. To validate the rubrics, intra-class coefficient (ICC) and reliability tests were done using the Statistical Package for the Social Sciences (SPSS) tool. Analysis was done to determine grading consistency and agreement level among two randomly chosen evaluators when using the rubrics and to evaluate whether clearly defined assessment metrics were used in grading projects. The results showed that the psychomotor rubric has strong inter-rater reliability with scores of 0.90 and 0.86; this suggests that variables in the rubric were 'very good' at measuring the end product. However, the affective rubric shows slightly weak reliability. This might be due to the different way evaluators assess the same work as some tend to be lenient, while others are strict. The developed rubrics enables evaluators to better assess students so that students obtain justified grades according to the quality of their project. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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