Analysis of students behaviour in virtual environment

J. Reichel, P. Kuna
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引用次数: 3

Abstract

The analysis of students behaviour in web learning environment within distance learning is one of the most significant areas for learning optimization. The aim of this article is to analyse students behaviour and the use of e-learning course in subject Discrete Mathematics. Data and results of this analysis are important for further adjustment and improvement of the e-course. Results of the course traffic analysis were estimated using association rules Discrete mathematics is compulsory for both bachelor and master study program Applied Informatics in full-time and distance form of study as well as bachelor and master study program Teaching of academic subjects in full-time and distance form of study. This electronic course is designed to use linear and branched teaching programs. In compiling the course we tried to take into consideration target audience - students of Computer Science. The course is designed to not require any special knowledge in IT field. Discrete Mathematics Course 1 consists of 10 thematic units (areas) replicating the length of the semester in weeks. Authors describe detail analysis of students behaviour which is made of data taken from LMS MOODLE database. We used specific types of data, which are indicating user traffic on every single page of the course. We used a log file that contains records of e-learning course with 107 students. To identify sessions, we used the STT (Session Timeout Threshold). Purpose of session identification is to divide access of all users into separate sessions (relations). Session side-effect may exclude users who are behind a NAT or proxy device. So we can identify users who are sharing a single computer, for example in a library. Students who used the e-course of Discrete Mathematics 1 were more successful in the final examination. The fact that the course is effective does not mean that all activities have been fully utilized. Based on the results of our analysis, we can optimize and improve the e-course and bring it closer to the student's needs. After implementation of necessary changes we can evaluate impact of these changes in the efficacy of the course.
虚拟环境下学生行为分析
远程学习中网络学习环境下学生行为的分析是学习优化的重要研究领域之一。本文的目的是分析离散数学科目中学生的行为和电子学习课程的使用情况。该分析的数据和结果对进一步调整和完善电子课程具有重要意义。使用关联规则估计课程流量分析的结果离散数学是全日制和远程学习的学士和硕士课程的必修课程应用信息学以及全日制和远程学习的学士和硕士课程的学术科目教学。本电子课程设计采用线性和分支教学方案。在编写课程时,我们尽量考虑到目标受众——计算机科学专业的学生。本课程不需要任何IT领域的专业知识。离散数学课程1由10个主题单元(区域)组成,以周为单位复制学期的长度。作者对LMS MOODLE数据库中的学生行为进行了详细的分析。我们使用了特定类型的数据,这些数据显示了课程中每一页的用户流量。我们使用了一个日志文件,其中包含107名学生的电子学习课程记录。为了识别会话,我们使用了STT(会话超时阈值)。会话标识的目的是将所有用户的访问划分为单独的会话(关系)。会话副作用可能会排除NAT或代理设备后面的用户。因此,我们可以识别共享一台计算机的用户,例如在图书馆中。使用离散数学1电子课程的学生在期末考试中更成功。课程有效并不意味着所有的活动都得到了充分利用。根据我们的分析结果,我们可以优化和改进电子课程,使其更接近学生的需求。在实施必要的变更后,我们可以评估这些变更对课程有效性的影响。
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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