Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan

M. Y. Rafiq, Mueen-ud-Din Azad, Aamer Rafique, Lu Chang
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Abstract

Due to the of use of ICTs and ODL, Virtual University (VU) has become one of leading distance learning university in Pakistan. However, the retention rate among online learners found considerably low. The primary objective of this research was to dig out determinants of retention of MS /MPhil students at VU and modeling their retention by considering important influences. For sampling purpose, three departments with the most students were considered and complete enumeration was done. There were 4,608 students from three departments; Computer Science & Technology, Management Sciences and Education have been included in this study. To dig out the important retention factors, this research has used a Chi-Square test, optimal scaling, a decision tree using CHAID analysis, and then developed a suitable model for student retention. Binary logistic regression techniques were applied. Results have revealed that gender, scholarship, province, location, and division are significant factors and contributing in predicting students' retention at VU. Detailed outputs are shown in respective tables and figures. At the end, different recommendations and suggestions are proposed.
巴基斯坦虚拟大学(VU)硕士/硕士学生留用模式的发展
由于使用ict和ODL,虚拟大学(VU)已成为巴基斯坦领先的远程教育大学之一。然而,在线学习者的保留率相当低。本研究的主要目的是挖掘弗吉尼亚大学硕士/哲学硕士生留存率的决定因素,并通过考虑重要影响因素对其留存率进行建模。为了抽样的目的,我们考虑了三个学生最多的系,并做了完整的枚举。有三个系4608名学生;本研究包括计算机科学与技术、管理科学和教育。为了挖掘出重要的留校因素,本研究运用卡方检验、最优缩放、CHAID分析的决策树等方法,建立了适合学生留校的模型。采用了二元逻辑回归技术。结果显示,性别、奖学金、省、地点和部门是预测VU学生保留率的重要因素。详细的产出以各自的表格和数字显示。最后,提出了不同的建议和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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