Exploring Linguistic Indicators of Social Collaborative Group Engagement

EasyChair Preprint no. 10018

Abstract

The recent advantages in methodological development renders it possible to automatize rating procedures, that have been carried out by human raters. Ongoing development of a combinations of NLP methods to assess Social Collaborative Group Engagement – in CSCL-learning groups – is presented. Preliminary results suggest that Social Engagement may be assessed through Sentiment, Group Cohesion and the Uniformity of participation in verbal communication through linguistic indicators in verbal communication.

Keyphrases: Collaborative Group Engagement, CSCL, Natural Language Processing, social interaction

@Booklet{EasyChair:10018,
  author = {Loris Jeitziner and Lisa Paneth and Oliver Rack and Carmen Zahn and Dirk Wulff},
  title = {Exploring Linguistic Indicators of Social Collaborative Group Engagement},
  howpublished = {EasyChair Preprint no. 10018},

  year = {EasyChair, 2023}}