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dc.contributor.authorChe, Xianhui
dc.contributor.authorIp, Barry
dc.date.accessioned2024-09-26T16:45:01Z
dc.date.available2024-09-26T16:45:01Z
dc.date.issued2024-09-04
dc.identifier.citationChe , X & Ip , B 2024 , ' An Assessment Framework for Creative Production in Computing and Engineering Disciplines ' , Computers and Education Open , vol. 7 , 100220 , pp. 1-17 . https://doi.org/10.1016/j.caeo.2024.100220
dc.identifier.issn2666-5573
dc.identifier.otherJisc: 2244357
dc.identifier.otherJisc: 2285799
dc.identifier.urihttp://hdl.handle.net/2299/28265
dc.description© 2024 The Authors. Published by Elsevier Ltd. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/
dc.description.abstractWith the increasing expansion of creative computing courses among higher education institutions, there is a growing demand for more objective and efficient assessment frameworks that cater to the multidisciplinary skills that students engage in during the production of such work. This research addresses persistent gaps for a systematic approach of assessing creative content in technical courses. Existing theories are reviewed including creative requirements framework and computing production model, which leads to the establishment of a newly proposed assessment framework. A mixture of research methods is employed combining both inductive and deductive approaches, evidence- based analysis, and case study, based on data collected over three academic years at a British university. The proposed assessment framework incorporates three factors of production (function, usability, and management) and two attributes of creativity (core and optional requirements), which is evaluated to determine its suitability for accurately reflecting the work undertaken by students. Creativity is quantified in the assessment based on technical contribution. The proposed framework can be applied in the delivery of courses involving creative production in the computer science and engineering disciplines in which teaching usually focuses on technical content rather than contextual design, creativity, or aesthetics. The findings reveal positive feedback and a number of pertinent outcomes, including promoting creativity, student satisfaction, and efficient assessments. The framework may be adopted by educators for similar courses that are underpinned by technical skills and creativity.en
dc.format.extent17
dc.format.extent5724584
dc.language.isoeng
dc.relation.ispartofComputers and Education Open
dc.titleAn Assessment Framework for Creative Production in Computing and Engineering Disciplinesen
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1016/j.caeo.2024.100220
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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