Artificial Intelligence Competence Teachers’ Assessment Scale (AICTS): Development and Validation

The rapid development in artificial intelligence (AI) is transforming the education systemglobally. It is pertinent to assess the competence level and teachers’ willingness to integrateAI into their professional teaching practice. Although the potential of AI literacy isincreasing, the current tools are rather limited in scope and tend to focus on the studentpopulation or the general public, disregarding a specific cognitive, attitudinal, andprofessional skills focus which are required for teachers. This research overcomes thislimitation by developing and validating the Artificial Intelligence Competence TeachersAssessment Scale (AICTAS), which is multidimensional in structure and was conceptuallydesigned over three core domains, including Cognitive Competence, Attitudinal Competence,and Professional Competence. The initial scale consisted of 84 Items, which were reduced to75 after constructing content validity. The 75-item scale was administered to a sample of 390teachers of various academic disciplines form public and private universities. Exploratoryfactor analysis (EFA) supported a 13-factor structure, retaining 67 Items that explained69.54% of the total variance. The structure was confirmed by confirmatory factor analysis(CFA) that provided acceptable fit indices (df: 2; 2.39; RMSEA = 0.060; CFI = 0.818).AITCAS showed great internal consistency (alpha = 0.832), indicative of a reliableinstrument. It is recommended to use this validated scale to assess AI competence amongteachers, to design interventions accordingly.