METHOD AND APPARATUS FOR RECOMMENDING LEARNING AMOUNT USING CLUSTERING AND ARTIFICIAL INTELLIGENCE USING GAUSSIAN MIXED MODEL AT THE SAME TIME

摘要

A learning amount recommendation method and apparatus using clustering and artificial intelligence using a Gaussian mixture model at the same time are disclosed. The learning amount recommendation apparatus using clustering and artificial intelligence using the Gaussian Mixtue model at the same time includes: a learning data collection unit for collecting a plurality of learning data from student terminals corresponding to a plurality of users; an academic achievement predicting unit for predicting an academic achievement type corresponding to the user of each of the student terminals by using the plurality of learning data; a learning amount table generation unit for generating a learning amount table by pre-processing the learning data according to the predicted academic achievement type; and a recommended learning amount determining unit that determines a recommended learning amount corresponding to the target user with reference to the learning amount table, and provides the determined recommended learning amount to a student terminal of the target user; including, wherein the academic achievement predicting unit includes, By clustering users corresponding to each of the learning data according to the current curriculum using the Gaussian mixture model, a cluster corresponding to each of the users is determined, and the academic achievement type assigned to the determined cluster is assigned to the cluster. It includes; a clustering engine that predicts the academic achievement type of the user belonging to