Artificial Intelligence in Professional and Vocational Training: Exploring Teachers and Students’ Knowledge and Use

Abstract

Artificial intelligence is one of the technologies with the most significant transformative potential in education. This study investigates the level of knowledge and use of artificial intelligence in vocational education. A mixed-methods approach with an exploratory-descriptive design was used to analyse the perceptions of 150 students and 20 teachers from a public educational institution in the healthcare field. Data were collected through an ad-hoc online questionnaire and analysed through descriptive statistical and dispersion methods, all processed through SPSS software. The results show that both groups have limited knowledge of artificial intelligence-based tools, with Canva and ChatGPT being the most recognised. A significant relationship was found between age and artificial intelligence knowledge, with younger participants reporting greater familiarity with these technologies. The findings underline the need for training programmes that address these gaps and accommodate generational differences in technology adoption.
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