NEURAL ADAPTIVE LEARNING DEVICE USING QUESTION TYPES AND RELEVANT CONCEPTS AND NEURAL ADAPTIVE LEARNING METHOD

摘要

Provided are a neural adaptive learning device using question types and relevant concepts and a learning method using the same, the device is capable of: storing curriculum, chapters, question types, problem types, problems, concepts and a relationship between the concepts; providing learning content to a user by using the stored data; connecting a learning history of each user for each problem in association with a chapter, a question type, a problem type and one or more concepts so as to extract a problem to be provided to a user by a neural adaptive method according to a rule defined for each of a plurality of learning levels on the basis of a mutually connected structure; adjusting the priority of a plurality of question types; and providing a concept cloud map for learning.