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The purpose of this paper is to evaluate the innovation perception, in its different aspects, of the Spanish people. To this end, several ordered logit models have been developed to determine the extent to which socio-demographic characteristics and other aspects of innovation affect the perception of innovation.

This paper analyses the perception of individuals about innovation in Spain and the related factors. It uses 2015 and 2018 data on individuals from Spanish surveys. The data include various measures of innovation perception, age, gender, educational level and other socio-economic variables.

The results indicate that people have a better perception of innovation if they are being trained in innovation or have good information and communication technologies skills. Among the main results, there is a gender gap in the perception of innovation, as well as differences in terms of digital skills.

To the best of the authors’ knowledge, it is the first time of this kind of analysis in this country. The results are linked to the literature, but should nevertheless be taken into account, which is why some policy recommendations are presented below.

In the era of artificial intelligence, natural language processing (NLP) models are revolutionizing numerous sectors. This research aims to explore the perceived value of them among university students. In particular, it aims to investigate how gender may influence students’ intention to use these models in educational contexts, highlighting potentially significant differences that could inform the implementation and adoption of educational technologies.

This study investigates the relationship between perceived value and students' intention to adopt NLP models, considering gender as a moderator. The research involves 562 students from the University of Salerno, in Italy, and uses confirmatory factor analysis to evaluate the reliability and validity of the measurement scales. A regression model with robust errors is used to explore the moderating role of gender on the relationship between perceived value and intentions of use of NLP models.

The results reveal a significant positive association between perceived value and intention to use NLP models, confirming that students with higher perceived value are more likely to adopt these technologies. Furthermore, gender moderates this relationship, indicating that females are less prone to use NLP models than male counterparts.

Research takes on a significant role in the academic field, underlining the importance of adapting teaching practices to the increasingly widespread digitalization. The inclusion of NLP models in university programs emerges as a possible improvement of the learning experience, ensuring cutting-edge education in tune with the needs of the digital society.