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Intel·ligència artificial i creativitat en l'ensenyament artístic

Authors: Hernández Fernández, Antonio;

Intel·ligència artificial i creativitat en l'ensenyament artístic

Abstract

La Intel·ligència Artificial (IA) es pot entendre com un conjunt de sistemes capaços d’imitar funcions cognitives humanes, com l’aprenentatge, la resolució de problemes i la presa de decisions, utilitzant algoritmes, dades i models predictius. En l’àmbit educatiu, el model SAMR estableix quatre nivells d’integració de la tecnologia en l’ensenyament: substitució, augmentació, modificació i redefinició. Mentre que els primers nivells simplement incorporen tecnologia per millorar processos existents, els últims impliquen una transformació profunda de les pràctiques docents. L’ensenyament artístic pot beneficiar-se especialment d’aquests nivells més avançats, ja que la IA ofereix noves possibilitats per a la creació i l’aprenentatge. Això planteja qüestions fonamentals per al professorat: són encara vàlides les metodologies tradicionals o cal adaptar-les a aquestes noves eines? Com pot la IA redefinir el procés d’ensenyament-aprenentatge en les disciplines artístiques? I quin impacte té en el desenvolupament de la creativitat?

Objectius de Desenvolupament Sostenible::4 - Educació de Qualitat

Country
Spain
Related Organizations
Keywords

Intel·ligència artificial, Ensenyament artístic, Arguments de Chiang, Educació i tecnologia, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Àrees temàtiques de la UPC::Ensenyament i aprenentatge, Creativitat

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green