Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database

Šijan, Aleksandar; Ilić, Luka; Predić, Bratislav; Viduka, Dejan; Rančić, Dejan

doi:10.22190/futlte241104011s

Repository
Journal articles
Bibliometric analysis of artificial intelligence applicati…

Journal article M52

Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database

Aleksandar Šijan, Luka Ilić, Bratislav Predić, Dejan Viduka, Dejan Rančić

Facta Universitatis, Series: Teaching, Learning and Teacher Education, 8(2), 119–130, 2024

No full text in the repository.

View at the publisher (DOI)

Cite

Šijan, A., Ilić, L., Predić, B., Viduka, D., & Rančić, D. (2024). Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database. Facta Universitatis, Series: Teaching, Learning and Teacher Education, 8(2), 119–130. https://doi.org/10.22190/futlte241104011s

@article{Sijan2024Bibliometr,
  author       = {{\v{S}}ijan, Aleksandar and Ili{\'c}, Luka and Predi{\'c}, Bratislav and Viduka, Dejan and Ran{\v{c}}i{\'c}, Dejan},
  title        = {Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database},
  journal      = {Facta Universitatis, Series: Teaching, Learning and Teacher Education},
  year         = {2024},
  volume       = {8},
  number       = {2},
  pages        = {119--130},
  doi          = {10.22190/futlte241104011s},
  note         = {Available online}
}

TY  - JOUR
AU  - Šijan, Aleksandar
AU  - Ilić, Luka
AU  - Predić, Bratislav
AU  - Viduka, Dejan
AU  - Rančić, Dejan
TI  - Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database
JO  - Facta Universitatis, Series: Teaching, Learning and Teacher Education
PY  - 2024
VL  - 8
IS  - 2
SP  - 119
EP  - 130
DO  - 10.22190/futlte241104011s
UR  - https://nir.mef.edu.rs/repository/handle/7af1f293-23f2-457c-bf09-3964607ca3ac
ER  -

205 views.

Details

Journal: Facta Universitatis, Series: Teaching, Learning and Teacher Education
Volume: 8
Issue: 2
Pages: 119–130
Year: 2024
DOI: 10.22190/futlte241104011s

Journal article M51
Bibliometric research in the field of cybersecurity: Focus on artificial intelligence and attack detection
Aleksandar Šijan, Luka Ilić, Dejan Viduka, Chulung Lee, Bratislav Predić
Journal of Process Management and New Technologies, 14(1-2), 133–152, 2026
Full text PDF DOI 10.5937/jpmnt14-66097
Journal article M53
PRIORITIZATION OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HIGHER EDUCATION USING THE PIPRECIA-S MCDM MODEL
Luka Ilić, Dejan Viduka, Aleksandar Šijan, Bratislav Predić
FACTA UNIVERSITATIS Series: Teaching, Learning and Teacher Education, 1–11, 2026
DOI 10.22190/FUTLTE260124003I
Journal article M23
Trends and Networks in the Application of MCDM Methods in Computer Science: Analysis of the Web of Science Database
Ana Veljić, Dejan Viduka, Luka Ilić, Aleksandar Šijan, Darjan Karabašević
The International Journal of Electrical and Computer Engineering Systems, 17(Vol. 17 No. 3 (2026)), 241–255, 2026
Full text PDF DOI 10.32985/ijeces.17.3.6
Conference paper M34
Web-Oriented Optimization of AI Algorithm Selection
Dejan Viduka, Luka Ilić
Belgrade: Faculty of Applied Management, Economics and Finance, 89, 2026
Conference paper M34
Integration of AI Assistants into the Programming Learning Process within IT Studies
Ana Veljić, Dušan Rajčević, Luka Ilić
Belgrade: Faculty of Applied Management, Economics and Finance, 65, 2026
Full text PDF

Bibliometric analysis of artificial intelligence applications in higher education using Web of Science database

Details

More by these authors

Bibliometric research in the field of cybersecurity: Focus on artificial intelligence and attack detection

PRIORITIZATION OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HIGHER EDUCATION USING THE PIPRECIA-S MCDM MODEL

Trends and Networks in the Application of MCDM Methods in Computer Science: Analysis of the Web of Science Database

Web-Oriented Optimization of AI Algorithm Selection

Integration of AI Assistants into the Programming Learning Process within IT Studies