Search results for "Eye-tracking"
showing 6 items of 36 documents
Professional vision in the classroom: Teachers’ knowledge-based reasoning explaining their visual focus of attention to students
2023
This study investigated Grade 2 teachers' (N = 50) professional vision through eye-tracking methodology and retrospective think-aloud interviews. The study examined the extent to which teachers' knowledge-based reasoning explains their visual focus of attention to whole class and individual students. We found that teachers' descriptions of students' social relations and emotions associated positively with teachers' visual focus of attention to the whole class. Teachers' descriptions of teacher-related information/elaboration and pedagogy linked negatively with teachers' visual focus of attention to individual students. The findings suggest that teachers' visual focus of attention to student…
Experiences from the Use of an Eye-Tracking System in the Wild
2010
Eye-tracking systems have been widely used as a data collection method in the human–computer interaction research field. Eyetracking has typically been applied in stationary environments to evaluate the usability of desktop applications. In the mobile context, user studies with eye-tracking are far more infrequent. In this paper, we report our findings from user tests performed with an eye-tracking system in a forest environment. We present some of the most relevant issues that should be considered when planning a mobile study in the wild using eye-tracking as a data collection method. One of the most challenging finding was the difficulty in identifying where the user actually looked in th…
Eye-tracking the Effects of Representation on Students' Problem Solving Approaches
2017
This study used an eye-tracking method to explore students’ approaches to solving the same task in different representations and the differences between students who answered correctly and those who answered incorrectly when solving the problems. Thirty-one upper secondary students took part in the study. According to the results of this study, the representation has a slight effect on students’ problem solving processes. Students with the incorrect answers paid more attention to the parts of the tasks with information irrelevant to determining the solution to the task. peerReviewed
Evaluating similarity measures for gaze patterns in the context of representational competence in physics education
2018
The competent handling of representations is required for understanding physics' concepts, developing problem-solving skills, and achieving scientific expertise. Using eye-tracking methodology, we present the contributions of this paper as follows: We first investigated the preferences of students with the different levels of knowledge; experts, intermediates, and novices, in representational competence in the domain of physics problem-solving. It reveals that experts more likely prefer to use vector than other representations. Besides, a similar tendency of table representation usage was observed in all groups. Also, diagram representation has been used less than others. Secondly, we evalu…
Visual attention while solving the test of understanding graphs in kinematics: an eye-tracking analysis
2019
This study used eye-tracking to capture students' visual attention while taking a test of understanding graphs in kinematics (TUG-K). A total of N = 115 upper-secondary-level students from Germany and Switzerland took the 26-item multiple-choice instrument after learning about kinematics graphs in the regular classroom. Besides choosing the correct alternative among research-based distractors, the students were required to judge their response confidence for each question. The items were presented sequentially on a computer screen equipped with a remote eye tracker, resulting in a set of approx. 3000 paired responses (accuracy and confidence) and about 40 h of eye-movement data (approx. 500…
Epistemic network analyses of economics students' graph understanding. An eye-tracking study
2020
Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph&mdash