Friend Relationship Weighting for Academic Performance Prediction on University Delegation at Following Competition

Eva Firdayanti Bisono, Tora Fahrudin, J. L. Buliali
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Abstract

 Academic performance is an important key to student success or failure. Therefore, academic performance prediction become a popular research on education. In general, several researches used GPA to predicting academic performance. However, there are some aspect that also plays a role in student academic performance, like friend relationship. So, this paper will analyze the correlation between academic performance and friend relationship. Friendship will be seen from communication frequency between students when become University delegation. Each students friend will have weight to show their closeness. In this paper, proposed method gives friendship weight based on communication frequency proportion between student among all student in one faculty. Indeed, close friends have a higher weight than other friends. So, the friendship weight sorted into descending order to get the closest friend. Then, their GPA convert into academic label, i.e. cumlaude, excellent, very good, or drop out. Furthermore, label will be compared to obtaining validation of our hypotheses that friendship plays a role in academic performance achievement. We use scholar student delegation dataset in competition from year 2015 in 7 study programme with 160 scholar students. Experimental results showed that the proposed method can predict academic performance 43% from the total data
朋友关系加权对高校代表团后续比赛成绩预测的影响
学习成绩是决定学生成败的关键。因此,学业成绩预测成为教育领域的热门研究课题。一般来说,一些研究使用GPA来预测学习成绩。然而,有一些方面也对学生的学习成绩起作用,比如朋友关系。因此,本文将分析学业成绩与朋友关系的相关性。当学生成为大学代表团时,他们之间的交流频率可以看出友谊。每个学生朋友都会有重量来显示他们的亲密。本文提出了一种基于同一院系所有学生之间的交流频率比例来确定友谊权重的方法。事实上,亲密的朋友比其他朋友更重要。所以,友谊的权重按降序排序,得到最亲密的朋友。然后,他们的GPA转换为学术标签,即优异、优秀、非常好或退学。此外,将标签进行比较,以验证我们的假设,即友谊在学业成绩中起作用。我们在2015年的7个研究项目中使用了160名学者学生代表团数据集。实验结果表明,该方法可以从总数据中预测出43%的学习成绩
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