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Knowledge tracking method and system based on federated learning

A knowledge and federation technology, applied in the field of knowledge tracking based on federated learning, can solve the problem of lack of modeling and tracking effects, and achieve the effect of accurately tracking the ability of modeling students and maintaining data privacy

Active Publication Date: 2020-07-28
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

This will lead to greater attention to the client sub-model with a large amount of data, even if the sub-model does not have better modeling and tracking effects

Method used

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  • Knowledge tracking method and system based on federated learning
  • Knowledge tracking method and system based on federated learning
  • Knowledge tracking method and system based on federated learning

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Embodiment Construction

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] The embodiment of the present invention provides a method of knowledge tracking based on federated learning, such as figure 1 As shown, it mainly includes:

[0023] Step 11. Collect historical answering information of students in each school on a school-by-school basis.

[0024] In the embodiment of the present invention, the historical answer information can be obtained from the online learning platform Zhixue.com or ASSITments, mainly inc...

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Abstract

The invention discloses a knowledge tracking method and system based on federated learning, and the method comprises the steps: employing a deep knowledge tracking model, carrying out the modeling ofthe knowledge state of a local student through combining with a recurrent neural network, and calculating the confidence of local data; finally, enabling the server take the confidence coefficient asa weight; and weighting and averaging the parameters of each model to obtain a global knowledge tracking model. The private data of each client is better utilized, the data privacy is kept, the ability of modeling students is finally tracked more accurately, and the defects of privacy information leakage, neglect of education data quality and the like of the existing method are overcome.

Description

technical field [0001] The invention relates to the technical field of educational data mining, in particular to a method and system for knowledge tracking based on federated learning. Background technique [0002] Knowledge tracking is an important task in the field of education. With the development of the intelligent education system, a large number of students and teachers live in various education systems for learning and evaluation. This requires the intelligent education system to be able to reasonably evaluate students' abilities, so as to make targeted opinions and suggestions for students, and then assist students in training and improvement. Knowledge tracking technology emerged as the times require, and its goal is to track and model students' knowledge status, that is, the change process of knowledge mastery over time based on students' learning records, so as to more accurately predict students' knowledge in the future. Level and performance in learning, so a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/20G06N20/00G06N3/04G06F21/62
CPCG06Q10/04G06Q50/205G06N20/00G06F21/6245G06N3/044Y02D10/00
Inventor 刘淇陈恩红吴金泽黄振亚王士进
Owner UNIV OF SCI & TECH OF CHINA
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