Automation Of The Process Of Teaching Students To Solve Computational Problems
Learning to solve computational problems both at school and at the university is the most important component of the educational process in any exact discipline. In the context of the digital transformation of education, the issues of automating the process of organizing personalized independent work of students to solve problems are becoming relevant. In this regard, the work aimed to substantiate and experimentally test an approach to formalizing the process of teaching students to solve computational problems. The main idea of the research is to create an automated interactive software environment developed based on structural and mental schemes and the "white box" model. To increase the effectiveness of independent learning using this environment, elements of gamification are used, visualization of the dynamics of the formation of the ability to solve problems using the forgetting factor and the A. Elo rating. Experimental testing of the created tool in the real educational process allowed us to evaluate the effectiveness and advantages of the proposed approach to automating the process of teaching students to solve computational problems. The use of problem-based structural-mental schemes allows you to create software training tools for many subject areas. The materials of the article are of interest to researchers in the field of the use of artificial intelligence in education.
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