Subject competition ability evaluation based on node coverage of event knowledge graph
Peisong Luo, Wenxue Men · 2023
According to the attributes and characteristics of event knowledge graph, this paper proposes a method based on its analysis of students' competition ability and prediction of competition results with certain reliability. This paper will collect problem data from major problem websites, treat a type of problem as an event, and extract the attributes of the problem, such as difficulty and algorithm involved, so as to build a knowledge graph. After that, we will collect the problem-solving situation of the students participating in the competition, find the corresponding event node from the event knowledge graph through the attributes of the corresponding problem, and save the algorithm label as the reflection of the students' ability. Finally, by summarizing the algorithms that have been mastered and those that have not been mastered, we will get the analysis of the students' competition ability. After that, we can compare the obtained analysis report with the algorithmic ability requirements of the competition, and obtain the predicted value of the student's achievement through a certain number of simulations.