Eye-tracking and classroom orchestration

Use of mobile eye-tracker in a classroom
 
Teacher facilitation in the classroom is widely recognized as one of the main factors affecting student learning outcomes in formal face-to-face settings. However, the orchestration load that such facilitation represents for the teacher, within the constraints of an authentic classroom, remains under-researched. We are investigating new methods to estimate the cognitive load of teachers during lessons, combining mobile eye-tracking and post-hoc video analysis techniques. 
 
Initial studies so far provided several insights about classroom usability challenges: the increased load of class-level facilitation, or the real-time monitoring of students’ progress. This new instrument in the researcher’s toolkit can help focus our attention in critical, fine-grained classroom usability episodes, to make more informed technology design decisions.
 
Cognitive load graphs
 
 

Publications

 
  • Luis P. Prieto, Yun Wen, Daniela Caballero, Kshitij Sharma, Pierre Dillenbourg. Studying teacher cognitive load in multi-tabletop classrooms using mobile eye-tracking. In Proceedings of the 9th ACM International Conference on Interactive Tabletops and Surfaces (ITS 2014), Dresden, Germany, November 2014. (ACM link)
  • Luis P. Prieto, Kshitij Sharma, Yun Wen and Pierre Dillenbourg. The burden of facilitating collaboration: Towards estimation of teacher orchestration load using eye-tracking measures. Accepted at the 11th International Conference on Computer-Supported Collaborative Learning (CSCL 2015), Gothenburg, Sweden, June 2015.
 

Contact / Collaborators

 

Acknowledgements and funding

This project is part of the Marie Curie Intra-European Fellowship MIOCTI, whose goal is to study and model classroom orchestration, and to propose and evaluate solutions to enhance such orchestration, using tangible user interfaces and paper computing.
 
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This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement FP7-PEOPLE-2012-IEF project no. 327384.