Advances and challenges of Artificial Intelligence in the university context: An empirical study

Angel Bartolome Muñoz de Luna; Sonia Martin Gomez

doi:10.24294/jipd.v8i13.8388

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Advances and challenges of Artificial Intelligence in the university context: An empirical study

Angel Bartolome Muñoz de Luna

Sonia Martin Gomez

Journal of Infrastructure Policy and Development 2024, 8(13), 8388; https://doi.org/10.24294/jipd.v8i13.8388

Submitted：05 Aug 2024

Accepted：05 Aug 2024

Published：06 Nov 2024

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Abstract

This study aims to predict whether university students will make efficient use of Artificial Intelligence (AI) in the coming years, using a statistical analysis that predicts the outcome of a binary dependent variable (in this case, the efficient use of AI). Several independent variables, such as digital skills management or the use of Chat GPT, are considered.The results obtained allow us to know that inefficient use is linked to the lack of digital skills or age, among other factors, whereas Social Sciences students have the least probability of using Chat GPT efficiently, and the youngest students are the ones who make the worst use of AI.

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References

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