Collective Unconscious Interaction Patterns in Classrooms

Students’ unconscious interactions can be estimated from their gaze patterns. They signal who they are paying visual attention to, which is not necessarily conscious as they could express in surveys, but it reveals the students’ unconscious preferences and decisions. A student’s gaze reveals who captures their attention among a class full of students. Using two months of video recordings taken from a fourth grade class, where, every day, a sample of 3 students wore a mini video camera mounted on eyeglasses, we analyzed students’ gaze tendencies throughout the sessions. We found that low GPA students’ gaze to the teacher decreases much more than high GPA students after 40 min. On the other hand, popular students, high GPA students, attractive boys, and girls without upper body strength receive much more gazes from peers systematically throughout the sessions. However there are groups with some combinations of these characteristics that unexpectedly receive more gazes. On the other hand, in some cases there is a clear pattern on gender and popularity of the peers that do more of the gazes to the previous groups than the rest.

[1]  M. Csíkszentmihályi,et al.  Experience Sampling Method: Measuring the Quality of Everyday Life , 2006 .

[2]  Joseph Henrich,et al.  Prestige-biased cultural learning: bystander's differential attention to potential models influences children's learning , 2012 .

[3]  Michael W. Kraus,et al.  The Local-Ladder Effect , 2012, Psychological science.

[4]  Larry Cuban,et al.  Inside the Black Box of Classroom Practice: Change Without Reform in American Education , 2013 .

[5]  Pierre Dillenbourg,et al.  Studying Teacher Orchestration Load in Technology-Enhanced Classrooms - A Mixed-Method Approach and Case Study , 2015, EC-TEL.

[6]  Lorena R. R. Gianotti,et al.  Clocking the social mind by identifying mental processes in the IAT with electrical neuroimaging , 2016, Proceedings of the National Academy of Sciences.

[7]  John Tooby,et al.  The Ancestral Logic of Politics , 2013, Psychological science.

[8]  Roberto Araya,et al.  A computational model of conscious and unconscious strategy discovery. , 2005, Advances in child development and behavior.

[9]  Michael S. Gazzaniga The Ethical Brain , 2005 .

[10]  Karen B. Givvin,et al.  Teaching Mathematics in Seven Countries: Results From the TIMSS 1999 Video Study , 2003 .

[11]  B. Libet Mind Time: The Temporal Factor in Consciousness , 2004 .

[12]  L. Cosmides,et al.  Human adaptations for the visual assessment of strength and fighting ability from the body and face , 2009, Proceedings of the Royal Society B: Biological Sciences.

[13]  Joel M. Hektner,et al.  Experience sampling method , 2007 .

[14]  Roberto Araya,et al.  Mining Social Behavior in the Classroom , 2015, ICCCI.

[15]  Morten Blomhøj,et al.  Mathematical applications and modelling in the teaching andlearning of mathematics: Proceedings from Topic Study Group 21 at the 11th International Congress on Mathematical ducation in Monterrey, Mexico, July 6-13, 2008 , 2009 .