Computational Analysis of Social Positioning in Collaborative Learning Interactions - Penstein-Rosé

In this talk I will present recent work on computational modeling of social positioning in conversational interactions,or leadership  taking in collaborative learning interactions more specifically. Basic  concepts of power and social distance from psychology explain social  processes operating in conversational interactions.  This theoretical  foundation explains how we gain influence within interactions through  our manipulation of horizontal and vertical social distance through a  variety of types of signaling,which may or may not be linguistic. Research in sociolinguistics illustrates and describes how these signals are encoded in language at various levels,from pronunciation,to lexical choice,to rhetorical strategies at the discourse level. Thus,this work describes how social processes are reflected through patterns of language variation.  If we can understand the connection between social processes and language by means of these signals,we can structure computational models of language interactions more effectively. Models  that incorporate these structures should be capable of making  predictions about the presence of social processes from interaction data  and can then be used to monitor collaborative learning processes in  real time.  Two specific operationalizations of leadership  will be addressed conceptually as well as computationally,which are  referred to as Authoritativeness and Transactivity. In addition,Rosé  will show and comment on a short Wiseman clip from the documentary High  School I from the point of view of social positioning,as it is related  to authority.

Disciplines : Éducation
Mots-clés : Education,Apprendre
Type de document : image en mouvement
Type de ressource : lecture
Niveau : higher education
Auteurs ou éditeurs : Luc Trouche,ENS de Lyon,Christian Bailly,Carolyn Penstein-Rosé