Svilen Simeonov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Svilen Simeonov has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Angel Marinov
Department of Electronics and Microelectronics, Technical University of Varna, 9010 Varna, Bulgaria
1 shared publication - Firgan Feradov
Faculty of Computer Science and Automation, Technical University of Varna, 1 Studentska Str., 9010 Varna, Bulgaria
1 shared publication - Tamer Abu-Alam
Department of Arctic Marine Biology, UiT The Arctic University of Norway, Tromsø, Norway
1 shared publication
Latest Publications
- Open Access
- 27 September 2024
- Published by MDPI AG in Education Sciences
- Vol. 14 (10) , 1063
Integration of AI Training in the Field of Higher Education in the Republic of Bulgaria: An Overview
The presented work provides a comprehensive evaluation of the current availability of education programs and courses related to of AI the field of Information Technologies and Computer Science in higher education institutions (HIEs) in the Republic of Bulgaria. More specifically, this study examines 163 bachelor’s and 239 master’s degree programs from 28 HEIs available during the 2023/24 academic year in four professional fields: (1) Electrical Engineering, Electronics, and Automation; (2) Communication and Computer Technologies; (3) Informatics and Computer Science; and (4) Mathematics. The conducted evaluation shows that 41.1% of evaluated BSc programs and 26.4% of MSc programs include at least one AI-dedicated course. Results indicate a significant presence of AI-focused education, particularly in degrees related to Informatics and Computer Science, where 47.8% of AI courses are concentrated. However, a notable disparity exists in the inclusion of AI subjects across other technical fields, particularly in Electrical Engineering and related degrees, which contain only 8% of the identified AI courses for BSc degree programs. The findings highlight the need for a broader and more accelerated integration of AI education to meet the evolving demands of both students and the labor market. This work underscores the importance of strategic curriculum adaptation to enhance the readiness of Bulgarian HEIs to support the development and application of AI technologies, addressing the skills gap and fostering a workforce capable of navigating the AI-driven future.
- 27 September 2024
- Published by MDPI AG in Education Sciences
- Vol. 14 (10) , 1063
Open AccessIntegration of AI Training in the Field of Higher Education in the Republic of Bulgaria: An Overview
The presented work provides a comprehensive evaluation of the current availability of education programs and courses related to of AI the field of Information Technologies and Computer Science in higher education institutions (HIEs) in the Republic of Bulgaria. More specifically, this study examines 163 bachelor’s and 239 master’s degree programs from 28 HEIs available during the 2023/24 academic year in four professional fields: (1) Electrical Engineering, Electronics, and Automation; (2) Communication and Computer Technologies; (3) Informatics and Computer Science; and (4) Mathematics. The conducted evaluation shows that 41.1% of evaluated BSc programs and 26.4% of MSc programs include at least one AI-dedicated course. Results indicate a significant presence of AI-focused education, particularly in degrees related to Informatics and Computer Science, where 47.8% of AI courses are concentrated. However, a notable disparity exists in the inclusion of AI subjects across other technical fields, particularly in Electrical Engineering and related degrees, which contain only 8% of the identified AI courses for BSc degree programs. The findings highlight the need for a broader and more accelerated integration of AI education to meet the evolving demands of both students and the labor market. This work underscores the importance of strategic curriculum adaptation to enhance the readiness of Bulgarian HEIs to support the development and application of AI technologies, addressing the skills gap and fostering a workforce capable of navigating the AI-driven future.