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Research on the Construction Method of Social Relationship Among Learners for Collaborative Learning in Online Education∗

Published: 24 August 2023 Publication History

Abstract

In recent years, online education platforms represented by MOOC platforms are developing rapidly. There are no thresholds such as high school and college entrance examinations in online education, and there are no requirements and disadvantages that you must be in a certain place to study. This allows everyone to equally enjoy the high-quality education of prestigious universities, and learners can freely choose courses that are interesting, popular or praised by everyone according to their interests and needs. However, while providing extremely high convenience for learners, it also cuts off the direct contact between learners and other people in the traditional classroom learning environment. As a result, learners are always accustomed to studying alone, and have no motivation to actively contact or are not used to contacting non-direct contact learning partners on the Internet. Lack of communication with learning partners and a common learning atmosphere lead to problems such as low learning efficiency, low learning persistence, and high course dropout rates. This paper examines the key elements of learning partner construction in traditional pedagogy, combines the user behavior characteristics of online education platforms, and refers to the process of traditional e-commerce recommendation systems, and constructs a set of online education learners collaborative learning social relationship construction methods.

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  1. Research on the Construction Method of Social Relationship Among Learners for Collaborative Learning in Online Education∗

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    ICBDE '23: Proceedings of the 2023 6th International Conference on Big Data and Education
    June 2023
    149 pages
    ISBN:9798400708220
    DOI:10.1145/3608218
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    Association for Computing Machinery

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    Publication History

    Published: 24 August 2023

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    Author Tags

    1. Online education
    2. community discovery
    3. feature extraction
    4. network convergence
    5. partner recommendation

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    • National Key Research and Development Program of China

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    ICBDE 2023

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