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EN
Emotions, especially stress, affect a student’s intellectual functioning, achievement and effectiveness in problem solving. Sources of stress include new and difficult situations in which there is frustration, essentially the set of unpleasant emotions associated with the inability to implement necessities or the difficulty in solving a task or problem. The reaction to stress is often an escape from the frustrating situation or resignation, which in the case of learning leads to a reduction of effectiveness. Therefore, an important aspect of teachers’ work is helping students to relieve stress and maintain their motivation to learn. This is particularly essential for school subjects that are generally considered by students to be difficult. This article discusses the results of studies in which the eye-tracking technique was used to identify emotions, especially stress, experienced during problem solving in physics, mathematics, computer science and biology. In this experiment, eye movement parameters and survey data were analysed with the aim of obtaining information on the subjective assessment of the stress level experienced during problem solving in the field of science. Participants included 45 pupils (middle school students). The results confirm the possibility of using eye-tracking data to diagnose negative emotions. The results of the studies might also be useful for teachers, who might be able to design a system of rapid intervention and student support, with the goal of stopping students from a quick resignation of solving problems. This study fits into the new trend of neurodidactics for the development of interdisciplinary research in the area of teaching
EN
The ability to solve problems using algorithms plays an increasingly important role in modern society, whereas programming, alongside with broadly understood digital skills, are considered to be one of the key competences of the future. The result of this trend is the modification in the Polish education system of the IT subjects’ core curriculum, under which teaching programming is planned at every stage of education. While teaching the skills of programming is important, it is not an easy task to achieve and hence it poses many methodological challenges. Researchers in this field are increasingly turning to new experimental methods, such as eye tracking techniques that allow to gain an insight into cognitive mechanisms and thus can provide objective information about the process of learning programming. The article discusses the results of authors’ own study, in which the state of declarative and procedural knowledge of students related to the forms of algorithm presentation was diagnosed. The questionnaires along with the tasks included in them, which the students solved in a traditional way and with the means of eye tracking techniques, were used in the study to track the process of solving comparable tasks presented on a computer monitor. The indicator of operational knowledge was the effectiveness of problem solving. The research was conducted on a group of 48 third-grade junior secondary school students. The obtained results (low level of correct answers) indicate that the situation in the area of learning the algorithmic skills of students requires improvement. The measurement data obtained using eye tracking allowed for an in-depth analysis and interpretation of visual activity of students. Therefore, it seems that eye tracking can be considered as a complementary research technique, enriching the state of knowledge on cognitive mechanisms that are triggered in the process of solving algorithmic problems.
XX
This study presents the results of research using an eye-tracking technique which enables following eyeball movements while solving a scientific task. Also presented is an analysis of the visual attention for participants (further called subjects) of a different mathematical experience while solving a mathematics test task. The aim of the research is to determine the profile of methods of solution of tasks which require the analysis of a diagram. The research opens new cognitive possibilities in mathematics didactics by showing the utility of the eye-tracking technique in a deeper recognition of the processes of learning and teaching Maths.
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