Formation of research competencies of future computer science teachers in their studies of artificial intelligence algorithms for analyzing data structures

the article is devoted to the urgent problem of forming research competencies among future computer science teachers in the context of studying artificial intelligence (AI) algorithms for analyzing data structures. The authors substantiate the need to integrate AI methods into teacher training, emphasizing their important role in developing critical thinking skills, designing educational solutions, and adapting technologies to school learning. Based on a mixed methodology (theoretical analysis, pedagogical experiment, questionnaire), an up-to-date learning model has been developed that combines the development of machine learning algorithms (clusterization, decision trees) with real-world data analysis project tasks. The results of the experiment confirmed the growth of students' abilities to independently research data, develop educational cases, and reflect on the ethical aspects of AI. Special emphasis is placed on the connection of technical skills with pedagogical practice, including the creation of digital resources for schools. The research contributes to the modernization of teacher education in the context of digitalization, offering tools for training teachers of a new formation.

research competencies, future computer science teachers, artificial intelligence, data structures, machine learning, pedagogical design