Methodological, Substantive and Procedural Aspects of Students’ Research Skills Formation using Artificial Intelligence

Abstract

The symbiosis of conceptual, mathematical and computer modeling in natural science study of practice-oriented problems is becoming a leading trend in the effective development of students’ thinking intellectual operations. Research problem: What are methodological, substantive and procedural aspects of students’ research skills formation in natural science course of practice-oriented problems solving by an artificial intelligence using? Research objective: To identify the substantive and procedural mechanisms for students’ research skills formation in natural science process of practice-oriented complex problems solving of artificial intelligence using by means of conceptual, mathematical and computer modeling. Materials and methods: Environmental and synergetic approaches, historiogenesis and technology of mastering complex systems and knowledge, methods of visual modeling and personal experiences founding during of natural science processes adaptation of practice-oriented tasks mastering, symbiosis of conceptual, mathematical and computer modeling in an architectures and functionality construction of neural networks and deep learning methods using. Results: Criteria and characteristics of “problem areas” in natural science aimed at subject and digital resources integration with potential of student’s research skills development are identified; requirements for organization of student’s search and research activities in digital educational environment are defined; didactic stages, principles and methods of multi-stage mathematical and information practice-oriented tasks implementation at natural science using generative and convolutional neural networks are identified.

Keywords:Practice-oriented tasks of natural science; Artificial neural networks; Research skills; Mathematical and computer modeling