Métricas alternativas
Keywords
higher education
scientometrics
mentions
social listening Inteligencia artificial
educación superior
cienciometría
menciones
escucha social
How to Cite
Abstract
The main objective of this research is to explore and understand the development and implementation of AI in the context of higher education at a scientific and social level, using a systematic methodology of reviewing scientific papers from the Web Of Science (WOS) database for the scientific part and a social listening analysis for the social field. The bibliometric study, through the Rstudio Cloud application, allows us to extract a meta-analysis on the topic of IA in higher education, from 2019 to the present, achieving an evaluation of 32 articles according to the guidelines of the PRISMA declaration.
For its part, the Brandwatch platform allows us to find out what is being said online about the use of AI in higher education, studying a total of 27,735 mentions, only from the last year.
By comparing the scientific and social results, conclusions are drawn on the current challenges of AI in universities, highlighting the need for researchers to start analysing the impact of the good use of AI tools as a teaching methodology, so that society can also highlight it in its mentions on the networks.
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