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Listar por autor "Thurnhofer-Hemsi, Karl"
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Are learning styles useful? A new software to analyze correlations with grades and a case study in engineering
Molina-Cabello, Miguel A.; Thurnhofer-Hemsi, Karl; Molina-Cabello, David; Palomo, Esteban J. (Computer Applications in Engineering Education, 2023)Knowing student learning styles represents an effective way to design the most suitable methodology for our students so that performance can improve with less effort for both students and teachers. However, a methodology ...