Examining Teachers’ Generative Artificial Intelligence Competencies and Impact Factors

• In Event: Beyond the Hype: Teachers, GenAI, and the Human Factor

Abstract

As generative AI (GenAI) becomes increasingly integrated into education, it is critical to understand teachers’ competencies in integrating GenAI is critical. Utilizing Teachers’ GenAI Competencies instrument, this study examined teachers’ GenAI competency levels and backgroud factors that impact and predict their competencies. Results showed that teachers had overall moderate GenAI competencies, with the highest proficiency in ethical awareness and the lowest in technological and pedagogical integration. Statistical analyses revealed significant differences in teachers’ GenAI competency levels based on professional stage, subject domain, teaching experience, and GenAI use frequency. Regression analyses identified subject domain and professional stage as the most significant predictors. These findings highlight the need for context-specific professional development and teacher education to prepare their GenAI competencies.

Author

• Lehong Shi, University of Georgia