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Extracted Abstract:
—In today's rapidly evolving technological landscape, marked by the proliferation of artificial intelligence and robotics, the role of engineering education stands as a cornerstone of sustainable progress. Recognizing this imperative, engineering curricula are increasingly incorporating a competency-based approach that reflects the complexities of the real world, for lifelong learning, using enabling and disruptive technologies such as humanoid robotics. We present a case study from the Tecnologico de Monterrey, Mexico City Campus, where NAO robots are used in social projects with immediate impact in the fields of health and education, addressing sustainable development objectives. This research shows projects that have had a significant social impact in different communities in Mexico, in the areas of education and health with innovative solutions that motivate and engage the attention of the audience. A group of students from different engineering careers design, develop and implement application scenarios for the accompaniment and social appropriation of challenges such as: the incorporation of girls in STEM areas, support for groups with intellectual disabilities, dissemination and knowledge of sign language and dissemination of the cultural heritage of Xochimilco as a cultural heritage of humanity. Preliminary results indicate that this pedagogical approach not only inculcates students with essential skills such as problem solving, critical thinking and teamwork, but also makes them more aware of the social implications of their engineering studies. Evidence and results of the involvement of undergraduate students in social scenarios are shown, showing that, by integrating these elements, engineering programs aspire to train professionals capable of harnessing their technical knowledge for the general good of society as well as the perception of the participants and audiences reached. Keywords—Complex thinking, competency-based education, educational innovation, higher education, data visualization, computational thinking. I.