Construction of a Trinity Teaching System Based on "Computational Thinking + Artificial Intelligence + X"

Abstract

With the spread of artificial intelligence technology in all parts of society, one of the current problems in education is how to integrate computational thinking, artificial intelligence methods and subject-specific knowledge effectively in teaching. First, it will determine the necessary attributes of computational thinking and how to integrate them in cross-curricular teaching; second, it will clarify the rational basis for introducing artificial intelligence technology into the teaching system; finally, it will establish the compatibility among the X-domain knowledge representation and the other two parts to build a trinity teaching system based on "Computational Thinking + Artificial Intelligence + X". Based on the above, the dimensions of competency have been set up in the system, ternary mapping relationships among knowledge units have been established, integrated teaching content has been organised according to task chains, and system elasticity and extensible interfaces have been added for dynamic adaptation. Further analyze the constraints on the co-evolution of the three elements during teaching, set regulation parameters and optimisation directions for cognitive load, put forward a system self-updating ability and cross-cycle effectiveness evaluation framework. Organise the teaching materials of all subjects in an organised and scalable way according to this system.