Research on the Construction Method of Digital Literacy Evaluation System for University Teachers Based on AI-TPACK

This study, grounded in the AI-TPACK theory framework, focuses on university teachers as research subjects and aims to develop a scientific and practical evaluation system for digital literacy. Through literature review, Delphi method, and analytic hierarchy process (AHP), we systematically examine the theoretical connections between AI-TPACK and digital literacy, identifying core components of faculty digital competence. After multiple rounds of expert consultations, the research team established evaluation metrics aligned with academic practices, assigned weightings to each indicator, and ultimately developed a multidimensional assessment system encompassing technological, pedagogical, content, and AI integration dimensions. This system effectively addresses the limitations of traditional evaluation methods, providing theoretical foundations and practical references for precise assessment and targeted enhancement of faculty digital literacy. The results demonstrate that the developed system exhibits strong reliability and validity, meeting current demands for evaluating teacher competencies in the context of digital transformation in higher education.