Woongjin Thinkbig Co., Ltd.

Haejin Kim

Jinhwan Jeong

Seori Park

Nuri Lim

DoHyung Kim

Hari Im

Nanju Kim

Sewon Jo

There are provided a learning recommendation apparatus and method for detecting a problem from an image through character recognition and providing at least one sub-topic learning among a plurality of sub-topic learnings related to the detected problem. The provided learning recommendation apparatus recommends, as a recommendation target, a plurality of learning topics including the concept of a formula which has been read through the character recognition for an image, wherein a priority order is set to the plurality of learning topics based on the concept distance between the learning topic and the learning history, and the learning topics are recommended so that the learning topic having a higher priority order is located at a higher position.

Apparatus and method for recommending learning using optical character recognition

The present disclosure relates to a technology for providing learning questions on the basis of one learning level in a plurality of games. The learning level of a learner whose learning level has not been set is set by providing the learner with a set number of evaluation questions. A next evaluation question for the learner is set based on learning question solving results of the learner for an evaluation question. Learning questions based on a learning level are provided in various games that are executed in a gaming device.

Apparatus for providing learning questions using games, and operating method of system for providing learning questions having the same

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Paju-si, South Korea

Haejin Kim