Christian Kosel *1, Angelina Voggenreiter *2,
Jürgen Pfeffer 2, and Tina Seidel 1
1Department of Educational Sciences, Technical University Munich, Germany,
2Department of Computational Social Science and Big Data, Technical University Munich, Germany.
*These authors contributed equally.
This article contributes to our understanding of teachers’ visual expertise by measuring visual information processing in real-world classrooms (mobile eye-tracking) with the newly introduced Gaze Relational Index (GRI) metric, which is defined as the ratio of mean fixation duration to mean fixation number. In addition, the aim of this article was to provide a methodological contribution to future research by showing the extent to which the selected configurations (i.e., varying velocity thresholds and fixation merging) of the eye-movement-event-detection algorithm for detecting fixations and saccades influence the results of eye-tracking studies. Our study has two important take-home messages: First, by adopting a novice-expert paradigm (two novice teachers and two experienced teachers), we found that the GRI can serve as a sensitive measure of visual expertise. As hypothesized, experienced teachers’ GRI was lower than that of the novice teachers, suggesting that their more fine-graded organization of domain-specific knowledge allows them to fixate more rapidly and frequently in the classroom. Second, we found that the selected velocity threshold parameter alters and, in the worst-case scenario, biases the results of an eye-tracking study. Therefore, in the interest of the further generalizability of the results within visual-expertise research, we emphasize that it is highly important to report configurations that are relevant to the identification of eye movements.