Superviseur project

The main purpose of this research is to study the strategies of teachers’ information sampling, through a mobile eye-tracking device and in an ecological context. The use of such a device suits with the highly dynamic nature of the classroom environment , where the diversity of the potential sources of change are difficult to capture with indirect observation tools.
We opted to let the dataset of this experiment fully and openly available from, so that any researcher can conveniently perform, upon registration, some of the analyses described in the paper, as well as new ones

Understand teachers gaze behavior through visualizations

These visualizations were designed thanks to Undertracks analyses platform.
If you wants to produce this kind of visualization it is necessary to:
1) download UT-Orange application
2) download associated process (right side of the table)

kind of visualization
Kind of process
To download the process from Undertracks

Gaze behavior by teacher during
all pedagogical moments

Time Line for all students

Time Line by student math level  
Process 1

Process 2

Gaze behavior by teacher during
 interactive exercise pedagogical
moment (TDOP=EXE_INT)
Time line for all students
Timeline and TDOP pattern for all students

Time line by student math level
Timeline and TDOP pattern by student math level
Process 1
Process 2

Process 3
Process 4

Indicators about student behavior and Teacher attention

 Calcul of GINI coefficients to mesure teachers’ attention distribution

Calcul of student behavior self-regulation indicator 
 R process 1

R process 2


Philippe Dessus, LSE, Univ. Grenoble Alpes
Olivier Cosnefroy, DEPP, LSE, Univ. Grenoble Alpes, French Ministry of Education
Vanda Luengo, Laboratoire LIP6, Université Pierre et Marie Curie, Sorbonne Universités


This research was partly funded by the Pôle  Grenoble Cognition, Univ. Grenoble Alpes. This research was approved by the CERNI (University’s local ethical committee, n° 2013-09-24-25). We would like to thank the four teachers for having accepted to wear this so weird devices and for nevertheless doing good teaching; Brigitte Meillon for her invaluable help in calibrating, capturing, and post-producing the video footages; Michèle Arnoux and Mathieu Louvart for coding the videos; Luc Sindirian and Pascal Bilau for making this research possible