AI competence dimensions are unequally developed among vocational school teachers¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The study's findings suggest that the different competence dimensions of AI competence are currently unequally developed among surveyed teachers. → Delcker 2025

Evidence¶

Delcker 2025¶

Delcker, J., Heil, J., & Ifenthaler, D. (2025). Evidence-based development of an instrument for the assessment of teachers' self-perceptions of their artificial intelligence competence. Education Tech Research Dev. https://doi.org/10.1007/s11423-024-10418-1

q2 · i? · associational · r1

Finding reported in the abstract of the survey study with N = 480 vocational school teachers, based on the AICO_edu questionnaire results. The article offers no specific effect sizes or per-dimension descriptive statistics in the provided text to quantify this unevenness.

"Findings suggest that the different competence dimensions are currently unequally developed. Pre- and in-service teachers need professional learning opportunities to develop AI competence."

Discussion¶

Related Claims¶

• CFA partially supports the six-dimension structure of perceived AI competence — related
• Perceived AI competence is best modeled as a latent factor over four dimensions after removing PF and AT — related
• Interest profiles combine homogeneous and heterogeneous patterns across the six dimensions — related