Evidence-based development of an instrument for the assessment of teachers’ self-perceptions of their artificial intelligence competence

Abstract

Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the required competencies of teachers related to AI is scarce. This study builds on an AI competence model and investigates predispositions of AI competence among N = 480 teachers in vocational schools. Results indicate that AI competence can be modeled as combining six competence dimensions. Findings suggest that the different competence dimensions are currently unequally developed. Pre- and in-service teachers need professional learning opportunities to develop AI competence.