Adoption of Artificial Intelligence and Humanoid Robots in Education: Educators' Motivation and Readiness in Croatia

The study presented in this paper focuses on establishing groups of educators based on their motivation and willingness to use humanoid robots and artificial intelligence in their teaching and learning. The main aim is to identify latent educator groups and examine the relationship between experience, motivation, and willingness to integrate artificial intelligence and humanoid robots into teaching practices. Respondents were 276 educators from primary, secondary or tertiary education institutions in Croatia with more than 40 % of educators involved in STEM disciplines. Given the mixed data types, the analysis was conducted using the Latent Class Analysis method, which identified six educator classes related to the use of Artificial Intelligence in teaching and learning and five latent classes associated with the use of humanoid robots. The study confirms that motivation plays a crucial role in the adoption of artificial intelligence and humanoid robots in teaching, with highly motivated educators being more likely to integrate these technologies, regardless of prior experience.