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大学生协作学习现状对个体化教学管理的启示——基于UCINET的可视化分析

Enlightenment of the Current Situation of College Students’Collaborative Learning on Individualized Teaching Management:Visual Analysis Based on UCINET
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摘要 通过分析大学生协作学习中互动、交流的网络特征,为提高学生个体化管理的效果提供必要的策略和支持。发现对95名平均年龄为20.5岁的大学本科生进行问卷调查,用社会网络分析工具UCINET6.0进行协作学习网络总体特征、矩阵相关性、中心性和凝聚子群分析。调查对象协作学习的互动内容包括发展信任、咨询学习和交换信息,三者具有显著相关性(p<0.001),合并为协作学习网络的整体结构稳定,存在孤立小组和重要的中心人物,协作学习关系具有小团体趋势,主要与宿舍和性别特征有关。大学生协作学习信息网络的结构特征与发展信任、咨询学习和交换信息的现状有关,性别和宿舍划分一定程度影响了协作学习小亚群的形成,挖掘和发展学生的中心人物作为协作学习小组领导成员对个性化教学管理具有重要作用。 Analyzing the network characteristics of interaction and communication in college students’collaborative learning is to provide necessary strategies and support for improving the effect of students’individualized management.We conduct a questionnaire survey on 95 undergraduate students with an average age of 20.5 years and use the social network analysis tool of UCINET6.0.The overall characteristics,matrix correlation,centrality and cohesive subgroups of collaborative learning network are analyzed.The interactive contents of collaborative learning include developing trust,consulting learning and exchanging information,which are significantly correlated(P<0.001).The structural characteristics of college students’collaborative learning information network are related to the current situation of developing trust,consulting learning and exchanging information.Gender and dormitory division affect the formation of small subgroups of collaborative learning to a certain extent.Mining and developing the central figure of students as the leader of collaborative learning group plays an important role in individualized teaching management.
作者 傅亚婷 段万里 陈佳晖 常文军 FU Ya-ting;DUAN Wan-li;CHEN Jia-hui;CHANG Wen-jun(Department of Naval Environmental,Naval Medical University,Shanghai 200433,China)
出处 《教育教学论坛》 2022年第20期28-31,共4页 Education And Teaching Forum
基金 2018年度中国人民解放军海军党委军事医学(预防医学)重点学科专业建设项目“预防医学专业本科生导师制的探索与实践”(HL20HJ0301)。
关键词 大学生 协作学习 个体化 教学管理 可视化分析 college students collaborative learning individualized teaching management visual analysis
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