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Cooperative learning optimization method, system and equipment based on load constraint and medium

A technology of collaborative learning and optimization method, applied in the field of collaborative learning, can solve the problems of not involving the cooperative evolution state of learners, not considering the cooperative evolution state of learners, etc., to achieve the effect of promoting learning effect

Pending Publication Date: 2022-07-29
ZHEJIANG NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing research mainly focuses on the interaction and trust factors among members of the group in collaborative learning, but ignores the important impact of cognitive load imbalance on learners' learning utility, and does not involve the collaborative evolution state of learners in collaborative learning The study did not consider how to optimize the learner's collaborative evolution state in the future

Method used

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  • Cooperative learning optimization method, system and equipment based on load constraint and medium
  • Cooperative learning optimization method, system and equipment based on load constraint and medium
  • Cooperative learning optimization method, system and equipment based on load constraint and medium

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Embodiment Construction

[0047] In order to make the objectives, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0048] refer to figure 1 , an embodiment of the present invention provides a load constraint-based collaborative learning optimization method, including:

[0049] S101. Acquire collaboration process data;

[0050] S102, perform collaborative learning evolution modeling processing according to the collaborative process data, and determine an initial collaborative learning evolution model;

[0051] S103, performing evolution trend calculation on the initial collaborative learning evolution model, and determining an initial state evolution trend representation set;

[0052] S104...

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Abstract

The invention discloses a load constraint-based collaborative learning optimization method, system and device, and a medium, and the method comprises the steps: obtaining collaborative process data; performing collaborative learning evolution modeling processing according to the collaborative process data, and determining an initial collaborative learning evolution model; performing evolution trend calculation on the initial collaborative learning evolution model, and determining an initial state evolution trend representation set; carrying out optimization strategy design on the initial collaborative learning evolution model, and determining a target evolution model under strategy implementation; performing optimization strategy trend characterization processing on the initial evolution trend characterization set according to a target evolution model, and determining a target evolution trend characterization set; and performing optimization parameter adjustment on the target evolution trend representation set according to the load constraint, and determining a collaborative learning optimization method. According to the method, the collaborative evolution state of the learner can be described and guided, the learning effect of collaborative learning is promoted, and the method can be widely applied to the technical field of collaborative learning.

Description

technical field [0001] The present invention relates to the technical field of collaborative learning, in particular to a load constraint-based collaborative learning optimization method, system, device and medium. Background technique [0002] Collaborative learning is a learning mode in which learners achieve their goals through interaction and collaboration. Under the guidance of specific topics, learners freely share ideas, emotions and attitudes in groups to promote the generation and iteration of group intelligence. , to achieve the overall growth of knowledge and ability, and has become the main education and teaching method under the background of education informatization. Existing research mainly focuses on the interaction and trust among members of the group in collaborative learning, but ignores the important impact of cognitive load imbalance on learners' learning utility, and does not involve the cooperative evolution state of learners in collaborative learning...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F111/06G06F111/04
CPCG06F30/27G06F2111/06G06F2111/04
Inventor 王希哲钟益华黄昌勤吴雪梅张琳捷
Owner ZHEJIANG NORMAL UNIVERSITY