Matías Bilkis, Joan Moya Kohler, Fernando Vilariño
{"title":"Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence","authors":"Matías Bilkis, Joan Moya Kohler, Fernando Vilariño","doi":"arxiv-2405.19243","DOIUrl":null,"url":null,"abstract":"The advent of Artificial Intelligence is expected to imply profound changes\nin the short-term. It is therefore imperative for Academia, and particularly\nfor the Computer Science scope, to develop cross-disciplinary tools that bond\nAI developments to their social dimension. To this aim, we introduce the\nChallenge-Device-Synthesis methodology (CDS), in which a specific challenge is\npresented to the students of AI, who are required to develop a device as a\nsolution for the challenge. The device becomes the object of study for the\ndifferent dimensions of social transformation, and the conclusions addressed by\nthe students during the discussion around the device are presented in a\nsynthesis piece in the shape of a 10-page scientific paper. The latter is\nevaluated taking into account both the depth of analysis and the level to which\nit genuinely reflects the social transformations associated with the proposed\nAI-based device. We provide data obtained during the pilot for the\nimplementation phase of CDS within the subject of Social Innovation, a 6-ECTS\nsubject from the 6th semester of the Degree of Artificial Intelligence,\nUAB-Barcelona. We provide details on temporalisation, task distribution,\nmethodological tools used and assessment delivery procedure, as well as\nqualitative analysis of the results obtained.","PeriodicalId":501565,"journal":{"name":"arXiv - PHYS - Physics Education","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.19243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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 with the proposed
AI-based device. We provide data obtained during the pilot for the
implementation phase of CDS within the subject of Social Innovation, a 6-ECTS
subject from the 6th semester of the Degree of Artificial Intelligence,
UAB-Barcelona. We provide details on temporalisation, task distribution,
methodological tools used and assessment delivery procedure, as well as
qualitative analysis of the results obtained.