Behavioral Intentions Towards Learning Artificial Intelligence in K-12 School

Artificial intelligence learning in schools and its adoption is a recent trend in schools, thus, this research aims to highlight the factors influencing behavioral intention and actual learning of AI in K-12 schools. The data for the research were gathered from students, and it was analyzed by Smart pls. The results highlighted that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivations, and price value do not influence behavioral intentions toward learning artificial intelligence in K-12 schools. Whereas habit significantly influences behavioral intentions. Moreover, habit and behavioral intention can influence the actual AI learning artificial intelligence in K-12 schools. These results can help the leaders, or administrators of K-12 schools. The scope of research is limited to K-12 schools, and future studies can expand it by evaluating the UTAUT 2 model in the context of AI learning in higher educational institutions.