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Title:
LEARNING CONTENT RECOMMENDATION DEVICE AND SYSTEM FOR DETERMINING RECOMMENDED PROBLEM BY REFLECTING LEARNING EFFECT OF USER, AND OPERATING METHOD THEREFOR
Document Type and Number:
WIPO Patent Application WO/2022/059921
Kind Code:
A1
Abstract:
Disclosed is a learning content recommendation device, which reflects the learning level of a user after learning such as the reading of an explanation about an incorrect problem or the attendance of a video lecture, and thus provides, to the user, a problem determined to show the highest score improvement. A learning content recommendation device for determining a recommended problem by reflecting the learning effect of a user comprises: an expected score calculation unit for, on the basis of user information including problems previously solved by the user and the user's responses thereto, calculating expected score information including the maximum expected score that the user can receive when the user correctly answers a candidate problem and the minimum expected score that the user can receive when the user incorrectly answers the candidate problem; a correct rate prediction unit for, on the basis of the user information, predicting correct rate information, which is the probability that the user will correctly answer the candidate problem; and a recommended problem determination unit for calculating an expected score on the basis of one or more of the expected score information, the correct rate information and a learning level, and determining a recommended problem according to the expected score.

Inventors:
LOH HYUN BIN (KR)
Application Number:
PCT/KR2021/010566
Publication Date:
March 24, 2022
Filing Date:
August 10, 2021
Export Citation:
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Assignee:
RIIID INC (KR)
International Classes:
G06Q50/20; G06N3/08; G06Q30/06; G06Q50/10
Foreign References:
KR102015075B12019-08-27
KR20190105252A2019-09-17
KR101996247B12019-07-04
KR20100123209A2010-11-24
KR102064683B12020-01-09
KR102283711B12021-07-30
Attorney, Agent or Firm:
DODAM IP LAW FIRM (KR)
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