Genetic Algorithms for Optimizing Grouping of Students Classmates in Engineering Education
Denny Kurniadi,
Hendra Hidayat,
Muhammad Anwar
et al.
Abstract:In this research article, we propose a method based on genetic algorithms to optimize the grouping of students in engineering education. Our method aims to create student groups that take into account their skills, preferences, and relevant factors. We build upon previous research that has successfully utilized genetic algorithms for group formation in various contexts, such as assigning students to laboratory groups and facilitating cooperative learning. We implement and evaluate our proposed methods in colla… Show more
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