Research on Interactive Behavior of Online Discussion Board Based on Social Network Analysis
Pages 201 - 205
Abstract
This article takes 35 students in the online discussion forums of a course as the research objects, and studies the social network formed by them and the interaction between actors. Using the Social Network Analysis tool UCINET to analyze the network density, network centrality and cohesive subgroups. It is found that in this course, the connections between the learners are not very close, and the interaction is not frequent. Several learners play a key role in guiding and bridging. They are at the core of online collaborative learning and are also important members of online discussion forums. According to the analysis of social network and the analysis of students' learning effect, some suggestions for improving the effect of online discussion will be put forward for the future online discussion of colleges and universities, so as to improve the enthusiasm and interactive effect of learners.
References
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LENG Jiang-tao,CHEN Bin.2020. Research on Online Learning Interactive Behavior Based on Social Network Analysis [J],Education Guide, 2020(11):60-65.
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ZHANG Yong-zhong and ZENG Mei-xia.2011. Interactive problem design in online learning resources [J]. China Audio-visual Education, 2011(8):87−91.
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LIU Ruixue, LUO Liming, SHI Changdi. Types of interaction in collaborative learning in a distributed learning environment[J].Distance Education in China,2017(1):30-36,76.
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FU Yan-fang,YANG Hao and LIU Xiao-ning.2020. Social Network Analysis of Online Collaborative Learning of Higher Vocational Students Based on UCINET [J].System simulation technology, 16(04):255-261.
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Published In
December 2021
323 pages
ISBN:9781450385800
DOI:10.1145/3510309
Copyright © 2021 ACM.
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Association for Computing Machinery
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Published: 14 March 2022
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ICETM'21
ICETM'21: 2021 4th International Conference on Education Technology Management
December 17 - 19, 2021
Tokyo, Japan
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