“Keep Your Eyes on ’em all!”: A Mobile Eye-Tracking Analysis of Teachers’ Sensitivity to Students

Abstract

International audienceThis study aims at investigating which cues teachers detect and process from their students during instruction. This information capturing process depends on teachers' sensitivity, or awareness, to students' needs, which has been recognized as crucial for classroom management. We recorded the gaze behaviors of two pre-service teachers and two experienced teachers during a whole math lesson in primary classrooms. Thanks to a simple Learning Analyt-ics interface, the data analysis reports, firstly, which were the most often tracked students, in relation with their classroom behavior and performance; secondly, which relationships exist between teachers' attentional frequency distribution and lability, and the overall classroom climate they promote, measured by the Classroom Assessment Scoring System. Results show that participants' gaze patterns are mainly related to their experience. Learning Analytics use cases are eventually presented, enabling researchers or teacher trainers to further explore the eye-tracking data

Situating presence within extended reality for teacher training: Validation of the extended Reality Presence Scale (XRPS) in preservice teacher use of immersive 360 video

“…Videos have been effective in comparing and measuring ways that experienced and novice teachers attend to particular moments in recorded classrooms (Dessus, Cosnefroy, & Luengo, 2016; Cortina, Miller, McKenzie, & Epstein, 2015; van den Bogert, Bruggen, Kostons, & Jochems, 2014). For example, Dessus et al .…”

“…For example, Dessus et al . (2016) used eye‐tracking technology in comparing less and more experienced teachers’ viewing of a classroom video. They found that less experienced teachers attempted to focus on multiple students, whereas more experienced teachers were able to perceive all students but focus on select sets of students.…”

Cross-Representational Signaling and Cohesion Support Inferential Comprehension of Text–Picture Documents

“…Similar to the study by Dessus et al (2016) , ratios were computed for analyses rather than using raw values to compare variances in the observed values because there was no time limitation to complete the reading activity. Thus, for eye-tracking data analyses, each page of the document was divided in two areas of interest (AOIs), the text and picture areas (see Figure 2 for an example), and ratio values were computed for the number of fixations, duration of fixations, and gaze length on pictures (i.e., uninterrupted sequences of fixations within an AOI), relative to the summed data for both AOIs.…”

Vision Tracking: A Survey of the State-of-the-Art

“…An effective approach towards students' visual attention tracking using an eye tracking methodology to solve multiple choice type problems is addressed in [238]. An information encapsulating process of teacher's consciousness towards the student's requirement using visual tracking is presented in [239], which is beneficial for classroom management system. To facilitate computer educational research using eye tracking methods, a gaze estimation methodology is proposed, which keeps record of a person's visual behavior, reported in [240].…”