蒙特卡罗模型在预测学生听课情况中的应用

Wanda Ilham, W. Army, Ilwan Syafrinal
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摘要

学生的听课水平是影响学业成绩和学习成绩的一个重要因素。本研究旨在预测学生的听课水平。本研究采用蒙特卡洛模拟法,因为这种方法可以产生许多随机样本,这些样本可以代表各种学生出勤情况,因此本研究可以对出勤水平做出更准确的估计。重复样本的使用也会影响预测结果。建模与模拟课程的学生出勤率数据。接下来,利用这些数据建立一个适合学生出勤情况的蒙特卡洛模拟模型。蒙特卡洛模拟的结果显示了各种情况下学生出勤率的概率分布。有了这些信息,大学就可以采取适当的措施来提高学生的出勤率。
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PEMODELAN MONTE CARLO DALAM MERAMALKAN PARTISIPASI MAHASISWA DALAM PERKULIAHAN
The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.
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