Attitudes, perceptions and AI self-efficacy in K-12 education
Nina Bergdahl, Jeanette Sjöberg
Abstract
Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate research. This study approaches teachers' readiness to use AI-driven chatbots. A survey and poll questions were administered, yielding 312 and 406 responses respectively, focusing on AI self-efficacy, attitudes, and perceived usefulness in education.Preliminary findings show that while teachers are generally positive about the potential of AI in education, their AI self-efficacy varies significantly based on prior use of the technology, perceived relevance, and the support available to them. The study highlights the need for internal support and targeted professional development interventions. This research offers practical insights for policymakers, educators, and curriculum developers to foster teacher readiness and competence in using AI-driven chatbots in their professional tasks, in and outside of class. • The study addresses attitudes and self-efficacy in using AI-driven chatbots in K-12 schools • New insights on teacher subgroups: The study distinguish esbetween primary and secondary teachers, finding significant differences in AI self-efficacy. • The study concludes with actionable advice for professional development programmes, emphasising ethical/pedagogical training, mentorship, and equitable distribution of resources.