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dc.creatorHidalgo Céspedes, Jeisson
dc.creatorMarín Raventós, Gabriela
dc.creatorLara Villagrán, Vladimir
dc.date.accessioned2018-01-18T15:48:57Z
dc.date.available2018-01-18T15:48:57Z
dc.date.issued2016-08
dc.identifier.citationhttp://www.clei.org/cleiej/paper.php?id=357
dc.identifier.issn0717-5000
dc.identifier.urihttps://hdl.handle.net/10669/73878
dc.description.abstractA correct understanding about how computers run code is mandatory in order to effectively learn to program. Lectures have historically been used in programming courses to teach how computers execute code, and students are assessed through traditional evaluation methods, such as exams. Constructivism learning theory objects to students’ passiveness during lessons, and traditional quantitative methods for evaluating a complex cognitive process such as understanding. Constructivism proposes complimentary techniques, such as conceptual contraposition and colloquies. We enriched lectures of a “Programming II” (CS2) course combining conceptual contraposition with program memory tracing, then we evaluated students’ understanding of programming concepts through colloquies. Results revealed that these techniques applied to the lecture are insufficient to help students develop satisfactory mental models of the C++ notional machine, and colloquies behaved as the most comprehensive traditional evaluations conducted in the course.es_ES
dc.description.sponsorshipUniversidad de Costa Rica/[]/UCR/Costa Ricaes_ES
dc.description.sponsorshipMinisterio de Ciencia Tecnología y Telecomunicaciones de Costa Rica/[]/MICITT/Costa Ricaes_ES
dc.language.isoen_USes_ES
dc.sourceCLEI Electronic Journal, Volume 19, Número 2. 2016es_ES
dc.subjectProgramming learninges_ES
dc.subjectNotional machinees_ES
dc.subjectLecturees_ES
dc.subjectConstructivismes_ES
dc.subjectConceptual contrapositiones_ES
dc.subjectCognitive dissonancees_ES
dc.subjectProgram memory tracinges_ES
dc.titleUnderstanding notional machines through traditional teaching with conceptual contraposition and program memory tracinges_ES
dc.typeartículo original
dc.identifier.doi10.19153/cleiej.19.2.2
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es_ES
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informáticaes_ES


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