论文标题
第二语言学习的串联电信中的个人对话波动分析
Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning
论文作者
论文摘要
可以通过串联协作来启用第二语言学习,其中将学生分组为视频电话会议,同时学习其他学生的母语。这使学生处于在线环境中,更外向的人可以积极贡献和进行对话,而那些更害羞和不确定其第二语言技能的人可以通过电话坐下来坐下来。我们已经建立了L2L系统并部署了L2L系统,该系统记录了所有参与者的对话说话的时间。我们会在每个呼叫中为每个学生的参与率和时间表提供可视化,并在仪表板上介绍。我们最近制定了一种称为个人对话波动率的措施,以表明每个学生在每个呼叫中对对话的贡献。我们介绍了来自我们大学的19个讲英语的学生的样本的对话波动率措施的分析,这些学生正在学习Frenchm,在一个教学学期的86个串联电信呼叫中。我们的分析表明,有必要研究互动的性质,看看分配给他们的讨论主题的选择是否太难了,这可能以某种方式影响了他们的参与。
Second language learning can be enabled by tandem collaboration where students are grouped into video conference calls while learning the native language of other student(s) on the calls. This places students in an online environment where the more outgoing can actively contribute and engage in dialogue while those more shy and unsure of their second language skills can sit back and coast through the calls. We have built and deployed the L2L system which records timings of conversational utterances from all participants in a call. We generate visualisations including participation rates and timelines for each student in each call and present these on a dashboard. We have recently developed a measure called personal conversational volatility for how dynamic has been each student's contribution to the dialogue in each call. We present an analysis of conversational volatility measures for a sample of 19 individual English-speaking students from our University who are learning Frenchm, in each of 86 tandem telecollaboration calls over one teaching semester. Our analysis shows there is a need to look into the nature of the interactions and see if the choices of discussion topics assigned to them were too difficult for some students and that may have influenced their engagement in some way.