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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.

The following case study was carried out on a sample of one experimental and one control group. The participants of the experimental group watched the movie section from the standardized LATEMO-E database via virtual reality (VR) on Oculus Rift S and HTC Vive Pro devices. In the control group, the movie section was displayed on the LCD monitor. The movie section was categorized according to Ekman's and Russell's classification model of evoking an emotional state. The range of valence and arousal was determined in both observed groups. Valence and arousal were measured in each group using a Self-Assessment Manikin (SAM). The control group was captured by a camera and evaluated by Affdex software from Affectiva in order to compare valence values. The control group showed a very high correlation (0.92) between SAM and Affdex results. Having considered the Affdex results as a reference value, it can be concluded that SAM participants evaluated their emotions objectively. The results from both groups show that the movie section is supposed to evoke negative emotion. Negative emotion was perceived more intensely than its counterpart, positive emotion. Using virtual reality to evoke negative emotion (anger) has confirmed that VR triggers a significantly stronger intensity of emotion than LCD.

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Some of the advantages of CNC machine use are high processing quality and the speed of the final machining of the product. In the paper we present the low cost solution while the goal was to design and implement a 3D model of a CNC machine based on laser engraver that does not contain too many parts (not only because of the price but also because of defectiveness) and to optimize it for easy production use. When implementing, those parts were focused on that are easily accessible for ordinary consumers or they can produce them themselves. Arduino has been used as a microcontroller. The software part was a created GUI that allows direct communication with the laser engraver machine based on the designed 3D model of the processed product, generating and sending a Gcode to the machine through the USB port. In the paper we compared the results of laser engraving by our designed engraver CNC machine and the professional solution Akshar Fiber-Pro Laser.