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Items' difficulty level determination based on a Statics test with parameters variation
(Institute of Electrical and Electronics Engineers Inc., 2015-01-01)
Looking for the improvement of the students' learning, the engineering school of EAFIT University is currently developing an evaluation and training system. In this system, each student has the option of doing 'dynamic' ...
Items' difficulty level determination based on a Statics test with parameters variation
(Institute of Electrical and Electronics Engineers Inc., 2015-01-01)
Looking for the improvement of the students' learning, the engineering school of EAFIT University is currently developing an evaluation and training system. In this system, each student has the option of doing 'dynamic' ...
A learners experience with the games education in software engineering
(Corporación Universidad de la Costa, 2021)
General response observed in cyclically loaded cohesive soilsGeneral response observed in cyclically loaded cohesive soils
(Universidad Militar Nueva Granada, 2016)
A biofilm model of microbial fuel cells for engineering applications
(Springer Verlag, 2017-12-23)
A generalized low-order model of the biofilm in a microbial fuel cell (MFC), suitable for use in real-time engineering applications, is presented. It is based on the description of the charge transfer, diffusion process, ...
Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use
(Elsevier Science, 2008-05)
Usability is a software attribute usually associated with the "ease of use and to learn" of a given interactive system. Nowadays usability evaluation is becoming an important part of software development, providing results ...
Virtual laboratories for civil engineering Distance learningLaboratorios virtuales para el aprendizaje en ingeniería civil a distancia
(Universidad Militar Nueva Granada, 2008)
A Test of Hypotheses for Random Graph Distributions Built From EEG Data
(IEEE Computer Society, 2017-04)
The theory of random graphs has been applied in recent years to model neural interactions in the brain. While the probabilistic properties of random graphs has been extensively studied, the development of statistical ...