Vasyl Fedorets
Orcid: 0000-0001-9936-3458
According to our database1,
Vasyl Fedorets
authored at least 10 papers
between 2019 and 2025.
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Bibliography
2025
System-forming aspects of computer science and mathematics teachers' readiness to develop and use computer didactic games: a comprehensive TPACK-GPCK framework analysis.
Proceedings of the 8th International Workshop on Augmented Reality in Education (AREdu 2025) co-located with 6th International Conference on History, 2025
2024
An IoT system based on open APIs and geolocation for the prevention of human health disorders.
J. Edge Comput., 2024
Visual modeling technologies in the mathematical training of engineers in modern conditions of digital transformation of approaches to creating visual content.
Proceedings of the 3rd Workshop on Digital Transformation of Education (DigiTransfEd 2024) co-located with 19th International Conference on ICT in Education, 2024
Collaborative learning in the system of training future information technologies specialists as an educational strategy for the fundamentalization of the sustainable development of education.
Proceedings of the 7th International Workshop on Augmented Reality in Education (AREdu 2024), 2024
Proceedings of the 7th International Workshop on Augmented Reality in Education (AREdu 2024), 2024
2022
Proceedings of the Joint Proceedings of the 10th Illia O. Teplytskyi Workshop on Computer Simulation in Education, 2022
2021
Development of the health-preserving competence of a physical education teacher on the basis of N. Bernstein's theory of movements construction using virtual reality technologies.
Proceedings of the 4th International Workshop on Augmented Reality in Education (AREdu 2021), 2021
2020
Proceedings of the 16th International Conference on ICT in Education, 2020
Methodological aspects of using augmented reality for improvement of the health preserving competence of a Physical Education teacher.
Proceedings of the 3rd International Workshop on Augmented Reality in Education, 2020
2019
An empirical comparison of machine learning clustering methods in the study of Internet addiction among students majoring in Computer Sciences.
Proceedings of the 2nd Student Workshop on Computer Science & Software Engineering (CS&SE@SW 2019), 2019