Abstract
The integration of artificial intelligence (AI) tools for educational data analysis and visualization in the training of future computer science instructors is investigated in this study. In order to fill in the identified gaps in preservice teachers' AI competencies, the research attempts to create a practice-oriented digital simulator model. Using performance evaluations and a pre- and post-intervention survey, 120 preservice computer science teachers from two pedagogical universities in Kazakhstan participated in an empirical study. Only 28% of participants demonstrated basic proficiency in data analysis prior to the intervention, indicating serious deficiencies in AI literacy and practical skills. In light of these findings, a five-module architecture for a digital simulator is suggested, which includes case situation, practical sandboxes, theoretical underpinnings, visualization tools, and an evaluation system. By strengthening abilities in data interpretation, ethical AI application, and pedagogical decision-making, this model improves educational assessments' objectivity and transparency. In order to promote flexible and knowledgeable teaching methods, the study emphasizes how important it is to incorporate AI technologies into teacher education programs