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Title:
LEARNING EFFECT ESTIMATION DEVICE, LEARNING EFFECT ESTIMATION METHOD, AND PROGRAM
Document Type and Number:
Japanese Patent JP2021113892
Kind Code:
A
Abstract:
To provide a learning effect estimation device capable of estimating a learning effect on a user by reflecting various aspects of the human mechanism for comprehending matters.SOLUTION: A learning effect estimation device includes: a model storage part to which learning data is input being learning result data of users who are allocated into learning-objective-specific categories, and which generates a correct answer probability per category of the users on the basis of the learning data, and stores a model for outputting a corrected correct answer probability obtained by adding a predetermined value to the generated correct answer probability; a correct answer probability generation part for generating a correct answer probability per category by inputting the learning data to the model; a correct answer probability database for accumulating time series data of the correct answer probability per user; and a comprehension level reliability generation part which acquires range data that is data specifying a category range for estimating the learning effect on a specific user, generates a comprehension level based on the correct answer probability within the range data of the specific user, and a reliability degree that becomes a smaller value with increasing fluctuation of the time series data of the comprehension level, and outputs the generated comprehension level and reliability degree in association with the category.SELECTED DRAWING: Figure 1

Inventors:
WATANABE JUN
UEDA MICHIYA
SAKURAI TOSHIYUKI
Application Number:
JP2020006241A
Publication Date:
August 05, 2021
Filing Date:
January 17, 2020
Export Citation:
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Assignee:
Z KAI INC
International Classes:
G09B19/00; G06N3/08; G06Q50/20; G09B7/04
Domestic Patent References:
JPH03125179A1991-05-28
JP2005215023A2005-08-11
JP2018205447A2018-12-27
Foreign References:
US20180151084A12018-05-31
Attorney, Agent or Firm:
Naoki Nakao
Yukio Nakamura
Yoshimura Munehiro