An empirical study on the relationship between generative artificial intelligence and analytical skill development: The mediating role of knowledge sharing
DOI:
https://doi.org/10.24191/rn8zyc21Keywords:
Generative artificial intelligence, Knowledge sharing, Critical thinking, Analytical skillAbstract
The adoption of generative artificial intelligence (GenAI) in teaching and learning is a popular research topic in education, sparking a great deal of controversy. This study explores the effect of the application of GenAI and knowledge sharing on the analytical skills of university students. Partial least squares structural equation modelling (PLS-SEM) was used to analyse data from 295 Chinese university students who are studying hospitality, tourism and sports-related programmes. Results suggest that students are highly receptive to using GenAI in their learning, and leveraging GenAI can positively affect students’ analytical skills through knowledge sharing. This study provides empirically grounded evidence elucidating the role of GenAI in enhancing students' analytical capabilities, thereby contributing to a more nuanced understanding of this emerging technology's implications in knowledge management, which offers critical insights into the previously underexplored impact of GenAI application on knowledge sharing behaviors within learning environments.
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