Teacher gestures support mathematics learning and promote student collaboration. Aligned with speech, gestures can help students to notice the important visual information of geometry tasks. However, students' visual attention to the teacher's gestural cues during collaborative problem solving remains a largely unexplored field in mathematics…

Background: Collaborative problem-solving (CPS), encompassing social and cognitive domains, is recognised as a critical competency for current and future learners. While the cognitive domain, rooted in individual problem-solving, is relatively well understood, the social domain, manifested through social interaction, remains a challenge,…

The aim of this study was to determine the visual measurement results related to the behavior/processes of solving skill-based science questions of eighth grade students by eye tracking technique. Non-experimental quantitative research method was used in the research and visual measurement results were supported by heat maps and eye splash…

When students are solving problems they often turn to examples when they need assistance. Examples are helpful because they illustrate how a problem can be solved. However, when examples are very similar to the problems, students default to copying the example solutions, which hinders learning. To address this, prior work has investigated the…

Given the recent development of mobile gaze-tracking devices it has become possible to view and interpret what the student sees and unravel the associated problem-solving processes further. It has also become possible to pinpoint joint attention occurrences that are fundamental for learning. In this study, we examined joint attention in…

Representational competence in science is the ability to generate external representations (e.g. equations, graphs) of real-world phenomena, transform between these representations, and use them in an integrated fashion. Difficulties in achieving representational competence are often considered central to difficulties in learning science.…

Eye tracking enables the reconstruction of eye movements and thus the analysis of visual information selection and integration processes during problem solving. In this way, learner-specific difficulties can be identified and problem-solving process can be adapted accordingly. For such an adaptation, the prediction of response behavior plays a…

Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…

This study investigated how visual attention differed between students who hold scientific knowledge and those who have misconceptions. We analyzed visual fixations of 98 middle students on problems containing information relevant to scientific knowledge and common misconceptions. It showed that students who acquired scientific concepts paid more…

Successful problem solving begins with constructing mental problem representations and the identification of problem characteristics to clarify the solution. The purpose of the current study is to examine the design principles of learning supports promoting mental problem representation in the math problem solving setting. We investigated the…

Positive effects of study progress on the economic knowledge of bachelor students are evident and were often referred to as proof of the validity of tests in the context of a longitudinal analysis. However, differences between "domain-specific" (e.g., semester) or "discipline-specific" (e.g., attended courses) indicators of…

Eye tracking is becoming increasingly popular in physics education research (PER). As technology has advanced considerably in recent years and has become more user friendly, it is anticipated that eye tracking will play an increasingly significant role in assessing student learning at the process level in future studies. The main objective of this…

Math anxiety (MA) and math performance are generally negatively correlated (Barroso et al., 2021; Namkung et al., 2019). However, the mechanisms underlying this negative association remain unclear. According to the attentional control theory (ACT; Eysenck et al., 2007), anxious individuals experience impaired attentional control during problem…

Interference of irrelevant salient variables may cause difficulties for students. This study focused on eye tracking during the comparison of perimeters task, in which area is the interfering irrelevant salient variable. There were three trial types: congruent (larger area-larger perimeter), incongruent inverse (larger area-smaller perimeter), and…

Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…