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

arXiv 2405.13487 ↗First posted 22 May 2024cs.CY cs.AI cs.HCcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 66 references that are in the map. First posted on arXiv 22 May 2024.

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References · 11

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