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Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments (2405.13487v2)

Published 22 May 2024 in cs.CY, cs.AI, and cs.HC

Abstract: The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. The objective of this study is to analyze from a quantitative and qualitative point of view the perception of controlled student-IA interaction within the classroom. This analysis includes assessing the ethical implications and everyday use of AI tools, as well as understanding whether AI tools encourage students to pursue STEM careers. Several points for improvement in education are found, such as the challenge of getting teachers to engage with new technologies and adapt their methods in all subjects, not just those related to technologies.

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Authors (5)
  1. Sergio Altares-López (3 papers)
  2. José M. Bengochea-Guevara (1 paper)
  3. Carlos Ranz (1 paper)
  4. Héctor Montes (1 paper)
  5. Angela Ribeiro (3 papers)
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