Coordinating Collaborative Chat in Massive Open Online Courses

Bibliographic Details
Title: Coordinating Collaborative Chat in Massive Open Online Courses
Authors: Tomar, Gaurav Singh, Sankaranarayanan, Sreecharan, Wang, Xu, Rosé, Carolyn Penstein
Source: Proceedings of the International Conference of the Learning Sciences 2016, Volume 1, pp 607-614
Publication Year: 2017
Collection: Computer Science
Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction
More Details: An earlier study of a collaborative chat intervention in a Massive Open Online Course (MOOC) identified negative effects on attrition stemming from a requirement for students to be matched with exactly one partner prior to beginning the activity. That study raised questions about how to orchestrate a collaborative chat intervention in a MOOC context in order to provide the benefit of synchronous social engagement without the coordination difficulties. In this paper we present a careful analysis of an intervention designed to overcome coordination difficulties by welcoming students into the chat on a rolling basis as they arrive rather than requiring them to be matched with a partner before beginning. The results suggest the most positive impact when experiencing a chat with exactly one partner rather than more or less. A qualitative analysis of the chat data reveals differential experiences between these configurations that suggests a potential explanation for the effect and raises questions for future research.
Comment: 8 pages
Document Type: Working Paper
Access URL: http://arxiv.org/abs/1704.05543
Accession Number: edsarx.1704.05543
Database: arXiv
More Details
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