Automatic classification of students for C2i certification exam

Ettarres Yamna, K. Mellouli
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引用次数: 1

Abstract

In Tunisia, students learn the module preparation to Computer Science and Internet Certificate PC2i in the license's first year, using the online platform Moodle. Selection criteria of students able to obtain the certificate C2i, delivered by the Virtual University of Tunis VUT, are based on students' marks in their exams. This work presents a new approach to classify students able to obtain the certificate C2i, using Bayesian Networks BNs [13] for an automatic classification. Data used is based on the students' works and interaction throw Moodle platform.
自动分类学生为C2i认证考试
在突尼斯,学生们使用在线平台Moodle在许可证的第一年学习计算机科学和互联网证书PC2i的模块准备。能够获得突尼斯虚拟大学颁发的C2i证书的学生的选择标准是基于学生在考试中的成绩。这项工作提出了一种新的方法来对能够获得C2i证书的学生进行分类,使用贝叶斯网络[13]进行自动分类。使用的数据是基于学生的作品和Moodle平台的互动。
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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