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.
An Overview of Genetic Algorithms in Educational Research from 2020 to 2024 / De Santis, Annamaria; Minerva, Tommaso. - 2828:(2026), pp. 428-441. [10.1007/978-3-032-15635-8_26]
An Overview of Genetic Algorithms in Educational Research from 2020 to 2024
Annamaria De Santis;Tommaso Minerva
2026
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.
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