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Online learning grouping method based on complex network theory

A complex network and grouping method technology, applied in the field of online education, can solve problems such as large randomness, poor applicability, lack of effective analysis of learner characteristics, etc., and achieve the effect of simplifying workload and improving efficiency

Active Publication Date: 2021-05-25
广州大洋教育科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current online learning grouping method mainly relies on teachers' artificial designation or random grouping. However, artificial designation has a large workload and difficult management, while random grouping lacks effective analysis of learners' characteristics, which is random and poor in applicability.

Method used

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  • Online learning grouping method based on complex network theory
  • Online learning grouping method based on complex network theory
  • Online learning grouping method based on complex network theory

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Embodiment Construction

[0041] In the teaching and management of large-scale online courses, in order to simplify the workload of online learning group division and improve the efficiency, effectiveness and applicability of online learning group division, the embodiment of the present invention provides an online The learning grouping method uses a multi-dimensional data clustering algorithm to discover learners with similar learning styles and learner characteristics from heterogeneous, multi-dimensional, and massive learner big data without manual intervention, and group these learners Automatic clustering into an online learning group, thereby realizing scientific and reasonable rapid division of online learning groups, simplifying the workload of dividing online learning groups, and improving efficiency, effectiveness and applicability.

[0042] At the same time, combined with complex network theory and its community characteristics, using the concept of betweenness (reflecting the role and influe...

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Abstract

The invention discloses an online learning grouping method based on complex network theory, which comprises the following steps: in a large-scale online learning system, acquiring a data set capable of reflecting learners' personality traits in multiple dimensions; acquiring learners' learning achievements, and combining the acquisition The composite Euclidean distance is constructed from the data set reflecting the learner’s personality traits; each learner is regarded as a node in the learner network to construct the learner network; the greedy algorithm is used to merge the nodes with edge connections in sequence, and automatically aggregate Classes are divided into study groups. The invention realizes the scientific and reasonable fast division of the online study group, simplifies the workload of the division of the online study group, and improves the efficiency, effectiveness and applicability.

Description

technical field [0001] The invention relates to the field of online education, in particular to an online learning grouping method based on complex network theory. Background technique [0002] MOOC (Massive Open Online Courses, Large Open Online Courses) and other online open courses have also exposed some shortcomings while they are flourishing. The large scale of online courses and the separation of time and space between teachers and students lead to the lack of targeted guidance, which leads to the lack of targeted guidance for learners. Insufficient participation and interaction, loneliness in learning, lack of integrity in learning experience, etc., ultimately affect the effect of online learning. [0003] Cooperative learning is a major trend in online education. It is an important feature of online education to promote cooperative learning among learners and dialogue with teachers to achieve fusion of horizons. In the online learning environment where teachers and ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/20G06K9/62
CPCG06Q50/205G06F18/23
Inventor 金政哲
Owner 广州大洋教育科技股份有限公司
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