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dc.contributor.authorOrtega Manjavacas, Álvaroes-ES
dc.contributor.authorFernández Bernal, Fideles-ES
dc.date.accessioned2025-09-26T16:55:59Z
dc.date.available2025-09-26T16:55:59Z
dc.identifier.urihttp://hdl.handle.net/11531/104948
dc.description.abstractes-ES
dc.description.abstractEngineering students often struggle to evaluate their actual level of theoretical understanding, especially when facing dense curricula and limited study time. This paper explores the use of online self-assessment tests (SATs) in two core engineering modules—Electrical Machines (EM) and Electrical Installations in Industrial Facilities (EIIF)—as a means to address this challenge. These topic-based, multiple-choice assessments allow students to test themselves regularly, receive immediate feedback, and adapt their study strategies accordingly.Data collected over multiple academic years show increased student participation and a clear improvement in final exam results after SAT implementation. The paper also highlights the importance of instructor involvement in managing expectations, maintaining question quality, and encouraging early and consistent use. Based on this experience, recommendations are proposed to help integrate SATs as a low-cost, high-impact learning tool in engineering programs.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.titleEvaluation of Self-Assessment Tests in Engineering Modules – A Powerful Tool for Alles_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsEngineering, AI-assisted learning, evaluation, self-assessment.en-GB


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