Cognitive Constructor: A Biologically-Inspired Self-Regulated Learning Partner

Limitations of modern artificial intelligence are most evident in comparison with the human ability to selfregulate cognitive and learning processes. Is it possible to model the human self-regulation ability in artifacts? And vice versa, can a computer model of this sort help students to develop self-regulation skills? This work describes a blueprint of an innovative intelligent tutoring system called Cognitive Constructor, to be used as a self-regulatedlearning assistant to students in mathematical problem solving paradigms. Cognitive Constructor will enable parallel acquisition of domain-specific mathematical skills and general self-regulated problem solving skills. At the core of Cognitive Constructor is our recently developed cognitive architecture GMU BICA that provides a suitable basis for modeling self-regulated problem solving.