Chukhray A. Methodological basis for the creation of intelligent computer programs that teach to perform algorithmic tasks

Object - processes of teaching and learning to perform algorithmic tasks. Goal - improving the quality of teaching and learning to perform algorithmic tasks through cybernetic systems. Methods of research - system analysis, theory of sets and graphs, theory of probabilities, theory of technical diagnostic, theory of algorithms, theory of automatic control, artificial intelligence theory, theory of intelligent computer programs that teach, theory of similar data search. Developed and introduced intelligent computer programs that teach (ICPT) to perform algorithmic tasks (AT) are based on the following scientific results: the model of calculated AT in demo mode; model of trainee for calculated AT in demo mode; model of classification of algorithms and SQL-queries; methods of automatic diagnosing of algorithms (SQL-queries) on the lexical and syntactic levels; model of calculated AT in training mode; model of trainee in training mode; the method of similar objects search; data model of ICPT; model of teaching in ICPT; approach to rational control of objects in conditions of partial uncertainty; compiled-interpreted model ICPT; methods of similar string search; methodology of ICPT for AT creation. Practical value - several ICTP were developed. They were introducted in 8 organisations. Sphere of application - teaching and learning to perform algorithmic tasks.