
doi: 10.3390/app10207286
The Internet of Things (IoT) is becoming a regular part of our lives. The devices can be used in many sectors, such as education and in the learning process. The article describes the possibilities of using commonly available devices such as smart wristbands (watches) and eye tracking technology, i.e., using existing technical solutions and methods that rely on the application of sensors while maintaining non-invasiveness. By comparing the data from these devices, we observed how the students’ attention affects their results. We looked for a correlation between eye tracking, heart rate, and student attention and how it all impacts their learning outcomes. We evaluate the obtained data in order to determine whether there is a degree of dependence between concentration and heart rate of students.
Technology, QH301-705.5, T, Physics, QC1-999, heart rate (HR), data analysis, Engineering (General). Civil engineering (General), eye tracking, Chemistry, internet of thing (IoT), measurements, TA1-2040, Biology (General), QD1-999
Technology, QH301-705.5, T, Physics, QC1-999, heart rate (HR), data analysis, Engineering (General). Civil engineering (General), eye tracking, Chemistry, internet of thing (IoT), measurements, TA1-2040, Biology (General), QD1-999
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 33 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
