Factors Influencing Students Behavioral Intention to Continue Artificial Intelligence Learning


Artificial intelligence (AI) is increasingly employed in education for enhancing teaching practices and meeting students' learning needs. A number of AI learning opportunities in K-12 and higher education continue to grow across the world. Yet, little research has been done to investigate K-12 students' behavioral intention to learn AI. This study, which involved a sample of 131 primary students, examined the factors that affect students' behavioral intention to engage in AI learning. The exploratory factor analysis was employed to validate a four-factor survey. The general factor model includes (i) AI literacy, (ii) confidence in AI, (iii) AI for social good, and (iv) behavioral intention. The results showed that the first 3 factors were positively associated with the last factor. Students perceive the purpose of learning AI for social good as the most powerful predictor for their behavioral intention.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL