Title:
PREDICTION DEVICE, PREDICTION METHOD, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/214936
Kind Code:
A1
Abstract:
In this prediction device, an acquisition means acquires student data on a student. A pre-processing means generates training data on the basis of the student data. A learning means generates, on the basis of the training data, at least one model for predicting the promotion status of the student by means of machine learning. A prediction means uses the generated model to predict the promotion status of a target student, from the student data on the target student.
Inventors:
HARA TAKESHI (JP)
Application Number:
PCT/JP2020/017466
Publication Date:
October 28, 2021
Filing Date:
April 23, 2020
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G09B19/00
Domestic Patent References:
WO2016151639A1 | 2016-09-29 |
Foreign References:
JP2019164738A | 2019-09-26 |
Other References:
"Predicting college dropouts with about 80% accuracy, Input 10 years of data to machine learning engine", NIKKEI BIG DATA, vol. 10, no. 35, 10 January 2017 (2017-01-10), pages 32
ABE, KEISUKE: "Prevention method of grade retention and dropout by early prediction of poor academic performance", LECTURE PROCEEDINGS OF THE 2019 IEICE GENERAL CONFERENCE : INFORMATION AND SYSTEM 2, 5 March 2019 (2019-03-05), pages 132
OTOMO, AIKO: "On-Campus Data Utilization : Working on IR (Institutional Research) in Universities", IR(LNSTITUTIONAL RESEARCH) FUJITSU, vol. 65, no. 3, 1 May 2014 (2014-05-01), pages 41 - 47
ABE, KEISUKE: "Prevention method of grade retention and dropout by early prediction of poor academic performance", LECTURE PROCEEDINGS OF THE 2019 IEICE GENERAL CONFERENCE : INFORMATION AND SYSTEM 2, 5 March 2019 (2019-03-05), pages 132
OTOMO, AIKO: "On-Campus Data Utilization : Working on IR (Institutional Research) in Universities", IR(LNSTITUTIONAL RESEARCH) FUJITSU, vol. 65, no. 3, 1 May 2014 (2014-05-01), pages 41 - 47
Attorney, Agent or Firm:
NAKAMURA, Toshinobu et al. (JP)
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