dc.contributor.authorPamplona, Sonia
dc.contributor.authorSeoane Pujol, Isaac
dc.contributor.authorBravo-Agapito, Javier
dc.date.accessioned2019-10-04T12:48:48Z
dc.date.available2019-10-04T12:48:48Z
dc.date.issued2018-10-01
dc.identifier.isbn9781450365369
dc.identifier.urihttp://hdl.handle.net/20.500.12226/274
dc.description.abstractIn the current decade understanding conceptual knowledge should be an important area of engineering science. However, it is not as widespread in this field as it is in the areas of education and psychology. Learning conceptual knowledge in engineering science could help instructors to adapt their lectures in order to overcome student misconceptions, to reinforce the learning process, and to check whether students are able to identify key features of a problem. Different methods are provided by authors to assess conceptual knowledge. One is to design and develop a concept inventory with the objective of identifying possible student misconceptions through multiple-choice questions. Another method consists of asking each student to answer a question by submitting a written explanation. This study provides two procedures for the assessment of conceptual knowledge based on the latter method. The first procedure is applied to online computer science students enrolled on an Operating Systems course. The second procedure is applied to online communication students enrolled on a Signals and Systems course. Both procedures are focused not only on assessing but also on searching for causes of potential student misconceptions. These procedures could help other instructors to assess conceptual knowledge on other engineering courses.es
dc.description.sponsorshipUniversidad a Distancia de Madrid, UDIMAes
dc.language.isoeses
dc.titleAssessing conceptual knowledge in three online engineering courses: theory of computation and compiler construction, operating systems, and signal and systemses
dc.typeconferenceObjectes
dc.description.course2018-19es
dc.identifier.conferenceObjectFirst International Conference on Data Science, E-learning and Information Systems, Data'18, Madrid, Spain — October 01 - 02, 2018es
dc.identifier.doi10.1145/3279996.3280005
dc.publisher.departmentDepartamento de Ingeniería Informáticaes
dc.publisher.facultyEscuela de Ciencias Técnicas e Ingenieríaes
dc.publisher.group(GI-14/5) Innovación y Aplicaciones Tecnológicas en las Organizaciones y la Sociedad (InATOS)es
dc.rights.accessRightsopenAccesses
dc.subject.keywordconceptual knowledgees
dc.subject.keywordlearning assessmentes
dc.subject.keywordengineering educationes
dc.subject.keywordonline learninges
dc.subject.keywordTheory of Computation and Compiler Constructiones
dc.subject.keywordOperating Systemses
dc.subject.keywordSignal and Systemses


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