Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence
Mat\'ias Bilkis, Joan Moya Kohler, Fernando Vilari\~no

TL;DR
This paper introduces the Challenge-Device-Synthesis methodology to help AI students develop social innovation competences by designing AI-based devices addressing social challenges, fostering interdisciplinary understanding and analysis.
Contribution
The paper presents a novel interdisciplinary educational approach integrating device design and social analysis for AI students, with detailed implementation and evaluation.
Findings
Positive student engagement and interdisciplinary understanding
Effective integration of social analysis into AI device development
Qualitative improvements in students' social transformation insights
Abstract
The advent of Artificial Intelligence is expected to imply profound changes in the short-term. It is therefore imperative for Academia, and particularly for the Computer Science scope, to develop cross-disciplinary tools that bond AI developments to their social dimension. To this aim, we introduce the Challenge-Device-Synthesis methodology (CDS), in which a specific challenge is presented to the students of AI, who are required to develop a device as a solution for the challenge. The device becomes the object of study for the different dimensions of social transformation, and the conclusions addressed by the students during the discussion around the device are presented in a synthesis piece in the shape of a 10-page scientific paper. The latter is evaluated taking into account both the depth of analysis and the level to which it genuinely reflects the social transformations associated…
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Taxonomy
TopicsBiomedical and Engineering Education · Engineering Education and Technology
