Abstract
In this work we present two courses of action as part of a research project which is focused in the use of intelligent tutoring systems and robots to improve the learning process of programming for the engineering field. The first method we use is the application of neural networks to the prediction of academic performance of students of programming and, on the other hand, we are developing practical activities based in robot programming for the same student universe as a motivational tool. These actions are the first steps to a learning strategy based on feedback and motivation, by applying intelligent systems in the process of teaching and learning programming applied to engineering field.
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