Recommendations to improve collaborative learning of Latin American computer science students according to dominant learning styles

This paper shows a case study with students of Computer Science related undergraduate programs that involved more than 300 university students from Argentina, Colombia and Mexico. For this purpose, a learning styles model of four dimension (Processing, Perception, Input ang Understanding) was applied by an online. The analysis shows that visual-active-sensing-sequential was the style dominant presented in the students of three countries. The analysis also revealed that there are not significant statistical differences for the four dimensions in students from Colombia and Mexico. However, learning styles of students from Argentina and Mexico show only significant differences in Understanding dimension. In contrast, there are significant statistical differences in Input and Understanding dimensions between students from Colombia and Argentina. Finally, this work provides recommendations so teachers and professors in these countries can adapt their practices to the dominant style identified and some suggestions for designers and developers of collaborative educational applications.