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Abstract
In this article we discuss, as a proof of concept, how a network model can be used to analyse gaze tracking data coming from a preliminary experiment carried out in a biodiversity education research project. We discuss the network model, a simple directed graph, used to represent the gaze tracking data in a way that is meaningful for the study of students’ biodiversity observations. Our network model can be thought of as a scanning signature of how a subject visually scans a scene. We provide a couple of examples of how it can be used to investigate the personal identification processes of a biologist and non-biologist when they are carrying out a task concerning the observation of species-specific characteristics of two bird species in the context of biology education research. We suggest that a scanning signature can be effectively used to compare the competencies of different persons and groups of people when they are making observations on specific areas of interests.
Highlights
Eye tracking provides a continuous measure for the study of the learning process as it happens, providing a peek into the cognitive processes of the learning subject [1,2]
The data sequence in our example is an areas of interest (AOIs) code sequence obtained from TS1, a test subject with training in biology, who was asked to scan the scene and look for features in the animals that indicate an adaptation of the animal to its habitat
We have described a network model that promises to be very useful in analyzing gaze tracking data in educational research
Summary
Eye tracking provides a continuous measure for the study of the learning process as it happens, providing a peek into the cognitive processes of the learning subject [1,2]. The uniformity or lack of uniformity in the weights of the edges of a network, represented as the width of the edges, and the order of the edges, represented by the color of the edges, allows for a qualitative or quantitative inspection of the data and the detection of possible cognitive processes at work. To show how this can be so, we present a proof of concept study involving two participants
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