Centre for Change and Complexity in Learning


Upcoming events

Talk - Many faces of social identity:
Detecting emergent roles in online interactions with group communication analysis

Monday 22nd October 2018
9.00am – 5.30pm

Lisa-Angelique Lim

Dr. Nia Dowell

School of Information & Academic Innovation,
University of Michigan

This talk will present results from recent work that uses language and discourse to capture social and cognitive dynamics during collaborative interactions. I will introduce group communication analysis (GCA), a novel approach for detecting emergent learner roles from the participants’ contributions and patterns of interaction. This method makes use of automated computational linguistic analysis of the sequential interactions of participants in online group communication to create distinct interaction profiles. We have applied the GCA to several collaborative learning datasets. Cluster analysis, predictive, and hierarchical linear mixed-effects modeling were used to assess the validity of the GCA approach, and practical influence of learner roles on student and overall group performance. The results indicate that learners’ patterns in linguistic coordination and cohesion are representative of the roles that individuals play in collaborative discussions. More broadly, GCA provides a framework for researchers to explore the micro intra- and inter-personal patterns associated with the participants’ roles and the sociocognitive processes related to successful collaboration.




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Learning Analytics:
Over simplified and under used

This presentation reflects on the noted promise of fields such as learning analytics and big data in terms of their capacity to deliver new forms of educational practice. That is, the rise and enculturation of data-informed learning and teaching, the provision of early alert systems, flexible and personalised learning opportunities enacted through recommender systems and the development of individualised learner profiles. The complexities of educational systems will be explored to better understand why learning analytics remains largely in the developmental phases and how these challenges can be addressed at a systemic sector-wide level.

Download: Preparing for the digital university PDF

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