Feelings analysis based on artificial intelligence techniques in the training of electronic engineers in renewable energy

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Jorge Enrique Salamanca Céspedes, Alvaro Garcia Martinez, Adriana Patricia Gallego Torres


Recently, renewable energies have attracted our attention, electronic engineers are required with skills of understanding, awareness, participation and commitment to this issue, articulating disciplinary knowledge with social, economic, and political issues, and also including an education for sustainable development perspective. This work corresponds to a research project with a design-based research methodological approach. The analysis of students' feelings towards relevant issues in this research is considered very important. Training model was designed and implemented with very good results. This document presents the final results of the doctoral thesis research project of the Inter-institutional Doctorate in Education of the Universidad Distrital Francisco José de Caldas DIE - UD.

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