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Question grouping updating method and device, equipment and storage medium

An update method and topic technology, applied in the computer field, can solve the problems of increasing the burden of topic development, large labor costs, roughness, etc., and achieve the effect of automatic update, ensuring high efficiency and accuracy, and improving effective utilization

Pending Publication Date: 2021-07-23
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The former is too rough, and also wastes resources, which will increase the burden of topic development; although the latter retains the topic, the labor cost is too high, and it is difficult to carry out large-scale and automated

Method used

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  • Question grouping updating method and device, equipment and storage medium
  • Question grouping updating method and device, equipment and storage medium
  • Question grouping updating method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] figure 1 It is a flow chart of one of the topic packet update methods provided by the embodiment of the present invention, and this embodiment can be applied to the case where the topic packet is automated, and the method can be performed by the topic packet update device provided by the embodiment of the present invention. The device can be implemented by software and / or hardware and can generally be integrated into computer devices. Corresponding, such as figure 1 As shown, the method includes the following operations:

[0036] S110, obtain the overall consistency parameters of the title group to be optimized.

[0037] Wherein, the presentation group can be a collection of topics having the same or similar characteristics. The overall consistency parameters may be data related to the characteristic similarity between the various topics in the question group to be optimized.

[0038] Correspondingly, the specific features of each topic can be evaluated, thereby dividing...

Embodiment 2

[0054] figure 2 A flow chart of one topic packet update method provided by the second embodiment of the present invention. The embodiments of the present invention are embodied based on the above embodiment, and in the embodiment of the present invention, specific alternative implementations of the target topic in the likeliration group are given.

[0055] like figure 2 As shown, the method of the embodiment of the invention specifically includes:

[0056] S210, get the overall consistency parameters of the title group to be optimized.

[0057] S220, determine if the overall consistency parameter is less than the preset consistency threshold, and if so, steps S230 to S240 are performed, otherwise S250 is executed.

[0058] S230, determine the target topic in the pre-optimized question group.

[0059] In an alternative embodiment of the invention, S230 can include:

[0060] S231, sequentially determine the topic of the above-to-optimized question group as the topic of the topic, a...

Embodiment 3

[0113] Figure 11 A structural diagram of one of the topic packet update devices provided in the first embodiment of the present invention, as shown in FIG. 11, the apparatus includes: an overall consistency acquisition module 310, a target topic determination module 320, and a target questions group update module 330.

[0114] Among them, the overall consistency acquisition module 310 is used to obtain an overall consistency parameter of the question group to be optimized.

[0115] The target topic determination module 320 is configured to determine the target topic in the preset question group in the case where the overall consistency parameter is smaller than the preset consistency threshold.

[0116] Target Taster Group Update Module 330 for acquiring the target questions of the target topic, updating the target topic from the to the target question group.

[0117] In an alternative embodiment of the embodiment of the present invention, the target topic determination module 32...

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Abstract

The embodiment of the invention discloses a question grouping updating method and device, equipment and a storage medium. The method comprises the steps of obtaining an overall consistency parameter of a to-be-optimized question group; under the condition that the overall consistency parameter is determined to be smaller than a preset consistency threshold value, determining a target question in the to-be-optimized question group; and obtaining a target question group matched with the target question, and updating the target question from the to-be-optimized question group to the target question group. According to the embodiment of the invention, automatic updating of the question groups can be realized, high efficiency and accuracy of the question group updating process are ensured, and the effective utilization rate of the questions is improved.

Description

Technical field [0001] Embodiments of the present invention relate to computer technology, and more particularly to one topic group update method, installation, computer equipment, and storage medium. Background technique [0002] In the field of artificial intelligence online education, the core of achieving personalized learning is an adaptive recommendation mode, which is based on the difference in performance differences and inner levels of the learner, and recommends different content and different sequential learning resources, thereby planning different learning paths. Among them, the topic is the core learning resource, and the key dependency information that is determined to learn if the learner learning situation is its packet. [0003] In the prior art, the topic is typically packetized according to the "knowledge point + difficulty", which is generally given by the content developers to be synchronized when writing topics. A knowledge point is generally more difficult...

Claims

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Application Information

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IPC IPC(8): G06F16/23G06F16/22
CPCG06F16/2282G06F16/2365
Inventor 崔炜贾静
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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