Evidence-Based Development of an Instrument for the Assessment of Teachers' Artificial Intelligence Competence

• In Event: Integrating Computer Science and Artificial Intelligence in Teaching and Learning

Abstract

Artificial intelligence (AI) competence becomes a key competence for teachers. However, current research on the acceptance and use of AI in classroom practice with a specific focus on teachers AI competence 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 a combination of six competence fields. Findings suggest that the different competence fields are currently unequally developed. Professional learning opportunities for developing AI competence are needed for pre- and in-service teachers.

Authors

• Jan Delcker, University of Mannheim
  Presenting Author

• Joana Heil, University of Mannheim
  Presenting Author

• Dirk Ifenthaler, University of Mannheim
  Non-Presenting Author