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Feature equalization intelligent grouping method for education scene

A grouping method and intelligent technology, which is applied in the cross-field of education and information technology application, can solve problems such as uneven number of groups, incompatibility of learning partner characteristics, and unbalanced characteristics between groups

Pending Publication Date: 2020-09-25
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0006] Aiming at the above defects of existing grouping methods and technologies, the present invention provides a feature-balanced intelligent grouping method for educational scenarios, the purpose of which is to find suitable collaborating partners for learners who have collaborative learning practice needs in educational scenarios, and then effectively Carry out educational practice in an efficient manner, thereby solving the problems of incompatibility between the characteristics of the learning partners in the traditional grouping and the imbalance of characteristics between groups caused by the uneven number of groups

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  • Feature equalization intelligent grouping method for education scene
  • Feature equalization intelligent grouping method for education scene
  • Feature equalization intelligent grouping method for education scene

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with accompanying drawing.

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in combination with accompanying drawings and examples in the form of package distribution.

[0027] Such as Figure 6 As shown, the characteristic balanced intelligent grouping method for the educational scene of the present invention specifically includes the following steps:

[0028] Step 1, learner characteristic data collection. Learner characteristic data can be divided into steady-state characteristics (learning style, leadership level, communication ability, collaboration ability, gender, major, etc.) and dynamic characteristics (social characteristics, academic performance, etc.). The collection of steady-state characteristics can be obtained by means of questionnaires and scale surveys, while the data of ...

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Abstract

The invention discloses a feature equalization intelligent grouping method for an education scene. Based on the core thought of a genetic algorithm, an intelligent grouping problem is converted into amulti-objective optimization solving problem, a grouping scheme is randomly generated to form a population solution set space by carrying out coding representation on learner features, and an optimalsolution of grouping is sought in limited time in an iterative search mode. Secondly, for the problem that groups are difficult to equally divide under the condition that the number of people is unbalanced, a solution of a feature interpolation method is provided, so that the problem that group homogeneity is difficult to maintain due to different numbers of people in groups is solved. In conclusion, the method can effectively improve the practical effect of collaborative learning in an education scene on the basis of solving the grouping problem that homogeneous groups and heterogeneous groups are automatically formed in collaborative learning.

Description

technical field [0001] The invention belongs to the cross field of education and information technology application, specifically, it is an intelligent grouping method that supports learners' feature balance for effective collaborative teaching practice. Background technique [0002] With the rapid development of my country's education informatization, online learning and blended learning continue to develop in my country's primary and secondary schools and higher education. Collaborative learning is one of the commonly used teaching strategies to carry out teaching activities in these different educational scenarios. Collaborative learning emphasizes organizing learners with different characteristics in a certain way during the learning process, through interaction and collaboration within the group, they can jointly complete specific learning tasks or solve related learning problems, and promote group-based knowledge construction. [0003] The main challenge in the implem...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/20
CPCG06Q10/06311G06Q50/205
Inventor 李旭欧阳璠陈文智张紫徽
Owner ZHEJIANG UNIV
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