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This paper investigates the use of conversational agents to scaffold on-line collaborative learning discussions through an approach called Academically Productive Talk (APT). In contrast to past work on dynamic support for collaborative learning, where agents were used to elevate conceptual depth by leading students through directed lines of reasoning(More)
The analysis of multimodal computer-mediated human interaction data is difficult: the diverse nature of this data and its sheer quantity is challenging enough, but a further obstacle is introduced by the complex nature of these interactions. In this paper, we describe the kinds of activities performed by researchers wishing to analyze this data. We present(More)
Detailed analysis of face to face computer mediated interactions implies a study of a corpus composed of the interaction traces produced by the collaborative tool and video and audio recordings. Because of their separate nature, it is frequently difficult to perform this joint analysis. We examine the needs of researchers, the particular difficulties they(More)
This is an analysis of data from a first attempt to combine (a) VMT technology, (b) helping agents, (c) collaborative small groups, and (d) accountable-talk prompting in order to scaffold biology student online chats about videotaped results of a biology experiment. Analysis of the response structure of the chat log of one of the student groups reveals(More)
—This paper investigates the use of conversational agents to scaffold on-line collaborative learning discussions through an approach called Academically Productive Talk (APT). In contrast to past work on dynamic support for collaborative learning, which has involved using agents to elevate the conceptual depth of collaborative discussion by leading students(More)
In this paper, we explore using an intelligent dialogue tutor to influence student academic self-efficacy, as well as its interaction with group self-efficacy composition in a dyadic learning environment. We find providing additional tutor prompts encouraging to students to participate in discussion may have unexpected negative effects on self-efficacy,(More)
Research in Computer Supported Collaborative Learning (CSCL) is diverse and multi-vocal, in that multiple theoretical and methodological traditions speak to questions concerning how learning takes place in social settings. Whether this multivocality leads to balkanization or is a source of strength may require deliberate efforts at identifying strategies(More)