Paper Info
Title
Assessing the Language of Chat for Teamwork Dialogue.
Abstract
In technology enhanced language learning, many pedagogical activities involve students in online discussion such as synchronous chat, in order to help them practice their language skills. Besides developing the language competency of students, it is also crucial to nurture their teamwork competencies for today's global and complex environment. Language communication is an important glue of teamwork. In order to assess the language of chat for teamwork dimensions, several text mining methods are possible. However, difficulties arise such as pre-processing being a black box and classification approaches and algorithms being dependent on the context. To address these issues, the study will evaluate and explain preprocessing and classification methods used to analyze teamwork dialogue from a dataset of chat data. Analytics methods evaluated in this study provide a direction for assessing the language of chat for teamwork dialogue and can help extend the work of technology enhanced language learning to not only focus on academic competency, but on the communication aspect too.
Year
Venue
Keywords
2017
EDUCATIONAL TECHNOLOGY & SOCIETY
Teamwork,Pre-processing,Supervised machine learning,Text mining,Learning analytics
Field
DocType
Volume
Teamwork,Learning analytics,Computer science,Comprehension approach,Knowledge management,Computer-mediated communication,Language assessment,Online discussion,Online chat,Formative assessment
Journal
20
Issue
ISSN
Citations 
2
1176-3647
1
PageRank 
References 
Authors
0.35
6
4
Name
Order
Citations
PageRank
Antonette Shibani173.50
Elizabeth Koh2306.27
Vivian Lai363.11
Kyong Jin Shim46713.91