Gathering evidence on e-rubrics: Perspectives and many facet Rasch analysis of rating behavior

dc.contributor.authorErguvan, Inan Deniz
dc.contributor.authorDünya, Beyza Aksu
dc.contributor.authorDünya, Beyza Aksu
dc.date.accessioned2025-10-18T09:58:14Z
dc.date.created2021
dc.date.issued2021
dc.departmentFakülteler, Eğitim Fakültesi, Eğitim Bilimleri Bölümü
dc.description.abstractThis study examined the faculty perspectives towards the use of electronic rubrics and their rating behavior in a freshman composition course. A mixed-methods approach has been employed for data collection and analysis. The data for faculty perspectives were collected from nine instructors through semi-structured interviews and for their behavior, six instructors teaching the same course in Fall 2019, shared their students' essay scores with the researchers. Many facet Rasch model (MFRM) was employed for quantitative data analysis. According to the findings of the quantitative data, the instructors differed in their degree of leniency and severity, one instructor being more lenient and one being more severe than the others. Another interesting finding was one instructor turned out to be an inconsistent user of the e-rubric. The findings of the qualitative data showed that writing faculty think e-rubrics come with great advantages such as facilitating scoring, ensuring standardization, and reducing student complaints and grade appeals. However, they view the impact of e-rubrics on student writing with cautious optimism. The findings of the qualitative and quantitative strands are overlapping, and the responses elicited from the participants seem to shed some light on the rating behavior of the writing faculty.
dc.description.sponsorshipGulf University for Science and Technology, Kuwait [187226]
dc.description.sponsorshipThis work was funded by Gulf University for Science and Technology, Kuwait [Internal Seed Grant number 187226].
dc.identifier.doi10.21449/ijate.818151
dc.identifier.endpage474
dc.identifier.issn2148-7456
dc.identifier.issue2
dc.identifier.orcidAksu Dunya, Beyza/0000-0003-4994-1429
dc.identifier.orcidErguvan, Inan Deniz/0000-0001-8713-2935
dc.identifier.startpage454
dc.identifier.urihttps://doi.org/10.21449/ijate.818151
dc.identifier.urihttps://hdl.handle.net/11772/19581
dc.identifier.volume8
dc.identifier.wosWOS:000663573300016
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIzzet Kara
dc.relation.ispartofInternational Journal of Assessment Tools in Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWoS_20251016
dc.subjectFreshman Composition
dc.subjectElectronic Rubric
dc.subjectMany Facet Rasch Model
dc.subjectRater Behavior
dc.subjectLeniency
dc.subjectSeverity
dc.titleGathering evidence on e-rubrics: Perspectives and many facet Rasch analysis of rating behavior
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication05be2d1a-b5ed-4ab3-b95f-84d30eadc6d1
relation.isAuthorOfPublication.latestForDiscovery05be2d1a-b5ed-4ab3-b95f-84d30eadc6d1

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