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大学生群体学习行为对学习成效的影响研究 被引量:12

Impact of college students' collective learning behavior on learning outcomes
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摘要 WEB2.0时代,网络社交媒介与大学生学习生活深度融合,形成了复杂的大学生学习网络。以南京邮电大学信息管理与信息系统专业操作系统课程为例,构建了学习网络,使用社会网络分析法研究了网络密度、出入度、凝聚子群和孤立点等因素对学习成效的影响。研究表明学习网络结构会显著影响学习成效,学习网络交流越频繁,总体成效越高。对学生个体而言,其交流的活跃性取决于交流的预期收益,成绩较好学生交流预期收益较低因而交流活跃性不高,成绩中等学生交流活跃度较高,成绩较差学生容易成为孤立点。通过评优评奖等方式激励成绩优秀学生参与学习网络交流,对低分学生群体进行针对性辅导能有效提高学生整体的学习成效。 College students' learning and living are deeply integrated with social media network in the Web2.0 era, forming a complicated student learning network. By building a learning network for an operation system course of Information Management and Information System program at Nanjing University of Posts and Telecommunications, this paper focuses on the impact of behavior on learning outcomes from the perspective of social network analysis, analyzing the factors of "network density", "participation frequency", "subgroup" and "isolation". The research shows that the learning network structure has an influencing effect on the learning outcomes: the more frequent communication, the better outcome. For the individual students, the communication activity depends on the indi- vidual students' expected benefits: the top students are less active for the low expectation; the medium-leveled students are most active; poor students tend to be isolated. To improve the overall leaning outcomes, top students should be encouraged to participate more in the communication of the leaning network and poor students need indi- vidualized tutoring.
作者 沈超 何秀美
出处 《南京邮电大学学报(社会科学版)》 2014年第1期106-112,共7页 Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)
基金 江苏省教育厅高校哲学社会科学项目"基于计算实验的跨媒介网络集群行为演化模型研究"(2013SJB870007) 南京邮电大学教学改革研究项目"基于社会网络分析的大学生学习行为研究"(JG00113JX39) 江苏高校哲学社会科学重点研究基地开放课题"基于计算实验的手机舆情传播演化研究"(JDS213002) 国家自然科学基金项目"互联网舆情演化中群体行为协同演进模型研究"(71271120)
关键词 群体学习 社会网络分析 集群行为 group learning social network analysis collective behavior
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