Artificial Intelligence Learning Diagnostic System Using Knowledge Map Based On Ontology

摘要

The present invention relates to an artificial intelligence learning diagnosis system using an ontology-based knowledge map. Such an artificial intelligence learning diagnosis system using an ontology-based knowledge map includes a problem, a commentary on the problem, a student profile, a database unit in which previously stored students learn results are stored, Extracts the words separated into words from the problems stored in the database as key words, The relevance level is determined according to the order of the curriculum that exists within the text of the curriculum commentary of the key words, the order of unit knowledge is determined according to the relevance level, and mapped to the unit knowledge according to the user's unit knowledge selection. By providing a problem, it continuously provides the problem of other unit knowledge according to the connection information depending on whether the problem is solved, If the relationship between the unit knowledges in the curriculum is in an orderly top-down relationship, the degree of relevance is grade 1, If the relationship between unit knowledges in the curriculum forms a conceptual upper and lower relationship of words, the degree of relevance is grade 2, An information extraction and conversion unit that determines the level of relevance as a third level when unit knowledge is in a horizontal relationship rather than a vertical relationship or a simultaneous learning relationship that is simultaneously taught in the curriculum; In order to compose an evaluation problem for a specific unit knowledge, a question bank is formed based on a knowledge system composed of a related structure of unit knowledge, and the result data generated by problem recommendation is used as prior learning data to be presented at the initial question bank. A problem recommendation unit capable of adjusting an initial weight value for the problem to be an optimal initial value; A learning course recommendation module that recommends a course for learning knowledge step by step using the unit knowledge association of the knowledge system, and recommends a learning course according to the weight of the unit knowledge according to the student's academic achievement; And A knowledge system unit connected to the problem recommendation unit and the recommendation module unit to form a knowledge system diagram by using data transmitted from the problem recommendation unit and the recommendation module unit as unit knowledge; And a terminal connected to at least one of a problem recommendation unit, a recommendation module unit, or a knowledge system unit to receive and output a problem, a knowledge system map, or a learning course.