June 15, 2019
June 15, 2019
June 19, 2019
The contemporary society characterized by inter/multi/trans-disciplinary, globalization, multiculturalism, connectivity, continuous change, complexity, and the rapid advance of science and technology, generate new challenges in the ethical formation of future engineers. Although the education of engineering students has made advances in curricular, pedagogical and didactical areas with the support of new technologies, ethical training has not significantly advance at the educational level. It requires a new pedagogical framework that facilitates engineering faculty to innovate in the teaching and learning processes of ethics training that will enable new generations of engineers to adapt to the socio-cultural, technological demands and dynamics of the 21st century. This paper highlights innovative processes in the ethics formation of engineers from the inter/multi/trans-disciplinary perspective based on new fundamentals that integrate Research & Development and Education (R+D+E). In addition, this paper shows the pedagogical foundations of the processes of teaching and learning for the formation of engineering students in ethics and its relationship with the Integral Formation of the Engineer based on fundamentals of cognitive neuroscience and adaptive complex systems.
The proposed framework for ethics training, allows for a contextualized and meaningful learning model for new engineers favoring the inter/multi/trans-disciplinary with the development of social and cross-cultural skills, emotional intelligence, social and ethical responsibility, adaptive leadership, creativity & innovation, critical thinking & resolution of complex problems, communication & collaboration skills, team work, global awareness, environmental cognizance, flexibility & adaptability, resourcefulness, citizenship competencies, among others.
Cruz, L. F., & Moreno, W. A., & Howell, J. (2019, June), Ethical Education in Engineering: A Pedagogical Proposal Based on Cognitive Neurosciences and Adaptative Complex Systems Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32756
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