dc.contributorSalamanca University
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:08:42Z
dc.date.accessioned2022-12-20T01:06:30Z
dc.date.available2022-04-28T19:08:42Z
dc.date.available2022-12-20T01:06:30Z
dc.date.created2022-04-28T19:08:42Z
dc.date.issued2002-01-01
dc.identifierJournal for Geometry and Graphics, v. 6, n. 1, p. 99-109, 2002.
dc.identifier1433-8157
dc.identifierhttp://hdl.handle.net/11449/221015
dc.identifier2-s2.0-85042015555
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5401144
dc.description.abstractWhile observing the difficulties of first-year engineering students toward learning technical drawing, taking into account the progressively reduced work time with them, and recognizing the importance of spatial aptitude in the engineering profession, we feel the necessity to improve the teaching methodologies in this subject. In our opinion, in order to effectively plan the didactic process, it is necessary to detect as early as possible those students who require more attention and support. This study proposes an investigation of a visualization psychometric test that could facilitate an early diagnosis concerning the academic performance of technical drawing students. To this end, a computerized version of the Mental Cutting Test (MCT) was carried out on a sample of Brazilian engineering students from the Paulista State University at Guaratingueta Campus (UNESP) and from the Polytechnic School of Sao Paulo University (EPUSP). The test was analyzed by the Item Response Theory, with the Rasch model, a measurement model with optimal properties in order to estimate the level in spatial aptitude of the examinees. The results suggest that MCT can be useful in detecting those students with different performance levels in technical drawing.
dc.languageeng
dc.relationJournal for Geometry and Graphics
dc.sourceScopus
dc.subjectRasch model
dc.subjectSpatial aptitude
dc.subjectTechnical drawing
dc.titlePredicting academic success of engineering students in technical drawing from visualization test scores
dc.typeArtículos de revistas


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