Publication Date:
2026
Short description:
An Overview of Genetic Algorithms in Educational Research from 2020 to 2024 / De Santis, A., Minerva, T. (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Computational Intelligence. IJCCI 2025 / [a cura di] Marcelloni, F., Madani, K., van Stein, N., Filipe, J.. - [s.l] : Springer, Cham, 2026. - ISBN 978-3-032-15635-8. - pp. 428-441 [10.1007/978-3-032-15635-8_26]
abstract:
Genetic Algorithms (GAs) applications can handle the complexity of educational phenomena and learning/teaching processes in searching for optimal solutions, managing numerous variables, and dealing with uncertainty and nonlinear problems frequently in the social sciences field.
This paper examines the use of GAs in educational research from 2020 to 2024, aiming to identify current applications and new opportunities. The overview includes 67 articles and proceeding papers retrieved from Scopus and WoS. During the investigation, we combined traditional and AI-based tools to identify relevant areas and categorize the selected documents. The analysis focused on research topics, disciplinary sectors, educational levels, and the contemporary use of other techniques in conjunction with GAs.
This paper examines the use of GAs in educational research from 2020 to 2024, aiming to identify current applications and new opportunities. The overview includes 67 articles and proceeding papers retrieved from Scopus and WoS. During the investigation, we combined traditional and AI-based tools to identify relevant areas and categorize the selected documents. The analysis focused on research topics, disciplinary sectors, educational levels, and the contemporary use of other techniques in conjunction with GAs.
Iris type:
Capitolo/Saggio
Keywords:
Genetic Algorithms,
Educational Research,
Learning Analytics
List of contributors:
De Santis, Annamaria; Minerva, Tommaso
Book title:
Computational Intelligence. IJCCI 2025
Published in: