ASSESSING THE READINESS OF PRE-SERVICE MATHEMATICS TEACHERS FOR GENERATIVE AI INTEGRATION: A SCALE DEVELOPMENT STUDY

DOI: 10.18173/2354-1075.2025-0118

Abstract

This study develops and validates a measurement scale assessing factors influencing the readiness of pre-service mathematics teachers to adopt generative AI in education. The proposed scale comprises five independent factors (Relevance of AI, Confidence in AI, Policy, Classmates' Support, and Ethics), one mediating factor (Subjective Norms), and two dependent factors (Readiness for Teaching and Learning). We used confirmatory factor analysis (CFA) to analyse survey data from 337 pre-service teachers to ensure reliability and construct validity. The findings indicate that this scale is a reliable tool for assessing readiness for generative AI adoption. The study provides valuable insights for policymakers and teacher training institutions as they design training programs and policies to facilitate AI integration in teaching and learning.