Research on Intelligent Tutoring System Based on Data-Mining Algorithms
Yixuan Chen, Yang Zhang · 2019
This paper takes the composition of the intelligent teaching system and the realization process of the system as study core, to introduce the process of the design and realization of each component of the intelligent tutoring system. It adopts data mining association rules and decision tree mining algorithm to enhance the intelligence and personalization of the intelligent tutoring system. In the course of the design, the thought of evaluating the students' learning effect by changing the traditional expert model is used, according to the constructivist teaching theory, and the expert model is adjusted based on the students' learning effect. The experimental results show that the application of data mining technology to the decision-making of teaching management in colleges enable the decision-makers to be more pertinent in decision making, and it has certain practical guiding significance.