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.
翻译:第二语言学习可以通过协同协作进行,让学生分组到视频会议电话中,同时学习其他学生的母语来接听电话。这让学生们处于在线环境中,让更多的学生能够积极作出贡献并参与对话,而那些更害羞和不确信其第二语言技能的人可以通过电话坐到后面和海岸边。我们已经建立并部署了L2L系统,记录所有参与者在电话中谈话的时间安排。我们制作了视觉化,包括每个学生在每个电话中的参与率和时限,并在仪表板上展示了这些内容。我们最近制定了一个称为个人对话波动的措施,以了解每个学生对每个电话对话的贡献是如何动态的。我们为来自我们大学的19名学习法语的英语学生样本提供了谈话波动性措施分析,他们每86个同步电话联线的电话通话一个学期都会有一个学期。我们的分析表明,有必要研究互动的性质,并查看分配给他们的讨论专题的选择对于一些学生来说是否太困难,这可能会影响他们的参与。