1 / 2017-04-14 18:58:39

An Academic Support System using Self-Organizing Map: A Remedial Process for Student with Learning Difficulties

Today freshmen students’ have difficulty in their college transition. Among the most prevalent risk factors are academic difficulty and failures. The early identification of vulnerable students who have difficulty in their academic journey is crucial for the success of any academic support programs and helps improve and increase the chance in staying in course chosen.

The study utilizes the efficiency of Self Organizing Map in formulating clusters from students with learning data sets. The cluster analysis was used to develop an academic support framework and system. The purpose of the academic support system is to automatically recommend academic support program suited in the characteristics of values of students. The recommendation produced by the system was extracted from the analysis of the cluster model derived from the Self Organizing Map. This is in line with the college or department preparation in providing academic support program to help students to achieve better academic performance.