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 |