Making sense out of synchronous and asynchronous discourse in education (SADES)


This workshop brings together researchers who are interested in theories, technologies, applications, and impacts of synchronous and asynchronous discourse in educational settings (SADES). The last two decades have led to significant changes in education, with digital learning infrastructures such as blended classrooms, computer-mediated collaborative learning environments, intelligent tutoring systems, and most recently massive open online courses (MOOCs). These systems produce an abundance of data streams including natural language, multimedia, and interaction trace data, affording new approaches to educational research. A major advantage of digital learning environments is that researchers have access to the data associated with the full scope of a learner’s experience and actions as they navigate through the environment, including the student discussions. Most of existing ITS applications involve one or at most two interactive conversational avatars (CAs) and one student. However, recent research efforts have been directed towards environments which involve multiple CAs and multiple human learners, which are co-presented in the same interactive intelligent tutoring environment (IITE). In doing so, this work is scaling the interactive elements of more traditional ITSs, and creating opportunities to explore sociocognitive processes in these environments through the use of computational models and natural language interactions. The majority of automated text analysis systems focus on characterizing the more macro language and discourse properties of an entire batch of texts. That is, they explore phenomena at the student or group level. While certainly useful, few analytical approaches and technological systems allow researchers to explore the micro intra-and interpersonal patterns associated with participants’ sociocognitive processes. In this workshop, we highlight recent analytical approaches for exploring both macro and micro SADES processes.

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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