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IRT based information processing method and device

An information processing method and theoretical technology, applied in the field of IRT-based information processing methods and devices, can solve problems such as low accuracy and low efficiency, and achieve the effect of improving model efficiency and estimation accuracy

Active Publication Date: 2018-06-29
BEIJING BYTEDANCE NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide an IRT-based information processing method and device to solve the problems of low efficiency and low accuracy of existing IRT-based topic information estimation schemes when processing a large number of topics

Method used

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  • IRT based information processing method and device
  • IRT based information processing method and device

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Experimental program
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Embodiment 1

[0024] figure 1 A schematic flowchart of an IRT-based information processing method provided in Embodiment 1 of the present invention, the method can be executed by an IRT-based information processing device, wherein the device can be implemented by software and / or hardware, and can generally be integrated in adaptive learning Among the terminals in the system, the terminal may be a terminal such as a personal computer or a server, or may be a mobile terminal such as a tablet computer or a smart phone, which is not specifically limited in this embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0025] Step 110, obtaining a preset number of answering information samples of the answerers on the target question bank.

[0026] In this embodiment, the target question bank and the preset number of answerers can be selected according to actual needs. For example, it is possible to obtain a sample of the answer information of students in a class a...

Embodiment 2

[0058] figure 2 It is a schematic flow chart of an IRT-based information processing method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the topic information of each topic in the target question bank is After estimation, related steps of pushing questions to answerers are also added.

[0059] Specifically, the method of this embodiment includes the following steps:

[0060] Step 210, acquiring a preset number of answering information samples of the target question bank.

[0061] Step 220 , based on the assumption that each answerer's answer to the question is an independent event, determine the frequency weight of the corresponding question in the target question bank being answered correctly by all the answerers with preset learning ability.

[0062] Step 230: Substituting the frequency weight into the preset estimation model to obtain the target estimation model.

[00...

Embodiment 3

[0090] image 3 A structural block diagram of an IRT-based information processing device provided in Embodiment 3 of the present invention. The device can be implemented by software and / or hardware, and can generally be integrated into a terminal in an adaptive learning system. The terminal can be a personal computer or A terminal such as a server may also be a mobile terminal such as a tablet computer or a smart phone, which is not specifically limited in this embodiment of the present invention. Such as image 3 As shown, the device includes an answer sample acquisition module 31 , a frequency weight determination module 32 , a frequency weight substitution module 33 and an information estimation module 34 .

[0091] Among them, the answer sample acquisition module 31 is used to obtain the answer information samples of the preset number of answerers about the target question bank; the frequency weight determination module 32 is used to assume that the answers to the questio...

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Abstract

The invention discloses an IRT based information processing method and device. The method comprises that an answer information sample of a preset number of question answerers about a target item bankis obtained; based on a hypothesis that a question answering condition of each question answerer is seen as an independent event, the frequency weight that a corresponding question in the target itembank is answered correctly by all question answerers with a preset learning ability is determined; the frequency weight is substituted into a preset estimation model, a target estimation model which is a maximal posterior probability estimation model based on an IRT model and an MML estimation method is obtained; and the target estimation model is trained in the MML estimation method according toanswer sample information so as to estimate question information of different questions in the target item bank. Via the technical schemes, the MML estimation method based on the IRT model can be applied to a self-adaptive learning environment in a better way, and the operation efficiency and estimation accuracy of the model are improved effectively.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of information processing, and in particular, to an IRT-based information processing method and device. Background technique [0002] With the wide application of computer technology in the field of education, people pay more and more attention to adaptive testing and adaptive learning. The self-adaptive learning system aims to provide a platform for students to learn independently, which collects students' problem-solving information, evaluates students' problem-solving ability in real time through technical means, analyzes the learning path that is most suitable for students to master the subject, and At the same time, the data in the question bank is integrated and updated. The adaptive learning system has the functions of rationally optimizing students' learning schedule, mobilizing students' learning enthusiasm, assisting teachers to improve teaching efficiency, and solving uneven...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N99/00G09B7/04
CPCG06N20/00G09B7/04
Inventor 刘源李历高钰舒张凯磊
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
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