Research On Directed Graph Of Problem Space Based On Disjunctive Skill Function

Based on disjunctive skill function,this paper deeply studies the assessment of learning ability of individuals with different competence states.This paper specifically describes the covering characterization of individual ability states in different knowledge states in high-level skills[HOTS]and low-level[LOTS].Firstly,the covering characterization of the initial state in the problem space in the knowledge structure is given.Secondly,exclusion is used to describe the covering of the learning path in the knowledge structure.Then,the state of knowledge is classified according to wlietlier the individual has completely mastered a certain skill,and the background of these two types of individual thinking skills are explained in real education.Furthermore,in these two kinds of skills,the covering theory is used to describe cognitive process between the competence state and the behavior state respectively,and the algorithm analysis steps of the four covering characterization are also given,and the corresponding programs are designed using Python language for data experiments.Finally,based on the above research resultsthe,problem space digraph is constructed.