Predicting the Movement of Dentistry Students using Markov Chain

Esmail Hassan Abdullatif Al-Sabri
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Abstract

Email: esmailsabri2006@gmail.com Abstract: Developing and increasing the effectiveness of any system (university system) depends on continuous evaluation and improvement using quantitative methods based on quantitative measurement and efficient mathematical models that can predict the future of the system, discover its improvement requirements and increase its effectiveness . This study is an application of the Stochastics Markov Process for students of the College of Dentistry at Ibb University. It was carried out by building a model for the movement (transition) of student’s cohorts in the college during the years of study and predicting the average times spent by the student until obtaining a degree in his/her track, as well as predicting the number of students expected to graduate for the post-study period. The study found that the average time for obtaining a bachelor's degree (graduation) is ordinary for the total students, although the average times for male students are less than the average times for female students.
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用马尔可夫链预测牙科学生的运动
摘要:任何系统(大学系统)的发展和有效性的提高都依赖于基于定量测量和高效数学模型的定量方法的持续评估和改进,这些方法可以预测系统的未来,发现其改进需求并提高其有效性。本研究是随机马尔可夫过程在伊布大学牙科学院学生中的应用。它是通过建立一个学生群体在学习期间在学院的运动(过渡)模型,预测学生在其专业获得学位所需的平均时间,以及预测学习后毕业的学生人数来实现的。研究发现,获得学士学位(毕业)的平均时间对于全体学生来说是普通的,尽管男生的平均时间比女生的平均时间要少。
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0.70
自引率
33.30%
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