Clustering of Learners Performance based on Learning Outcomes for Finding Significant Courses

Education is the most critical topic globally. As a result, an analysis of educational insights concerned to find patterns and knowledge which is interesting in educational management. Therefore, this paper proposes a new method of clustering the attributes (courses) that support the students' performance, identify the attributes (courses) that effect to each group (cluster) of students' outcomes, and evaluate the model performance. The sample is conducted from 249 students from Phadungnaree School, Maha Sarakham province, Thailand. The results show that there is a variety of cluster in students' performance with importance attributes (courses) of students programs, while the model performance is very significant to the model. In the future work, it will be implemented to the application and program recommendation for secondary school.