A MODEL FOR DEVELOPING FUTURE TEACHERS’ TESTOLOGICAL COMPETENCE BASED ON THE INTEGRATION OF ARTIFICIAL INTELLIGENCE AND DIGITAL ASSESSMENT TOOLS

Abstract

The rapid advancement of artificial intelligence and digital educational technologies has significantly transformed teaching and assessment practices in modern education. Future teachers are expected to possess not only pedagogical knowledge but also competencies related to educational assessment, test construction, and the effective use of digital tools. However, many teacher education programs provide insufficient opportunities for developing testological competence and assessment literacy. This study aims to propose a model for developing future teachers’ testological competence through the integration of artificial intelligence and digital assessment tools. The research is based on the use of digital platforms such as Quizizz, Kahoot, Wordwall, Google Forms, Canva AI, ChatGPT, Gemini, and Edpuzzle in educational practice. The proposed model supports test design, automated assessment, feedback generation, learning analytics, and reflective learning processes. The findings indicate that integrating artificial intelligence with digital assessment technologies contributes to improving future teachers’ professional readiness, assessment literacy, digital competence, and ability to organize effective learning environments. The study also emphasizes the necessity of incorporating testology and modern assessment technologies into teacher education curricula.