文章基本信息

标题：Factors that contribute programming skill and CGPA as a CS graduate: Mining Educational Data
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作者：Aref BILLAH ; Sheikh Arif AHMED ; Shahidul Islam KHAN 等
期刊名称：Database Systems Journal
电子版ISSN：2069-3230
出版年度：2019
卷号：X
期号：1
页码：1-10
出版社：Bucharest Academy of Economic Studies Publishing House
摘要：Computer Science (CS) has become one of the most popular under graduate program in last few years. According to UGC roughly 116 universities out of 136 are offering computer science program which indicates a massive number of students are choosing this program as their undergraduate program. But statistically significant number of students are failing to become skilled and effective CS graduate because many students are taking CS without accessing their chance in this program. Success in academic and professional life require to choose right under graduate program. Considering CGPA and Programming Skill as two of the most significant factors to determine student’s success in CS, we have predicted these two by taking students personal interest, academic results, analytical skill and problem solving skill into account. We also extracted most significant features of a prospective CS student by using gain ratio.
关键词：Computer Science Student; Predicting Performance; Machine Learning Techniques; Data Mining; Programming skill; CGPA