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Examining large student cohorts - a question of questions

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dc.contributor.author West, Roger P.
dc.contributor.author Wride, Michael A.
dc.date.accessioned 2021-09-28T14:40:04Z
dc.date.available 2021-09-28T14:40:04Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/10344/10618
dc.description peer-reviewed en_US
dc.description.abstract With pressure on academic courses worldwide to increase student numbers, the trends in exam marks distribution for subject modules become more meaningful, with more distinct pattern characteristics reflecting student choice, topic and exam question difficulty and lecturer marking severity, refinement and consistency. The practice of representing the overall exam results for a module through histograms enables Normality, skewness and randomness to be identified, interrogated and understood better. However, when dealing with large numbers of exam candidates (of the order of 1000 or more), an investigation of the averages and histograms for individual exam questions can further reveal refined explanations for unusual student performance. This paper investigates the outcomes of 1st and 2nd year examinations for modules on an engineering degree course in another jurisdiction, with class sizes of circa 2400 and 1700 students, respectively, in order to develop a deeper understanding of exam dynamics amongst students and academics setting and marking those papers. It can involve many tens of thousands of items of data in a histogram for just one module, in which trends are not random and have potential causes, intended or accidental. It emerges that at least four different question mark patterns may exist from a range of modules types investigated. These indicate the importance of examiners having a better appreciation, when delivering lectures, planning exam papers, question structure and marking scripts, of the different factors which give rise to unusual examination trend outcomes. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Civil Engineering Research in Ireland (CERI20);pp.406-411
dc.subject histograms en_US
dc.subject marks distributions en_US
dc.subject modules en_US
dc.title Examining large student cohorts - a question of questions en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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