在LCMS系统中学习时,对一个学科的学习小组中的学生进行评级

Ivan Alekseyevich Kalinin
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引用次数: 0

摘要

本文向读者介绍了Dilsi LCMS系统在学生学业成绩排名方面的功能,并致力于使用数字技术计算排名的问题。最近,学生的学习兴趣一直在下降。确定学生在小组中的等级有助于解决这个紧迫的问题。在评级中占据的位置鼓励学生超越自己的同类,成为该活动领域的领导者。对有关该主题的文献的回顾表明,目前人们对目前的大学积分评级系统感到不满,由于相应计算的形式主义和复杂性,排名难以确定。对资料来源的分析证实了一种假设,即外国模式在不遵守其中规定的运作原则的情况下,被机械性地转移到我国大学。本研究的目的是提出自动化计算学生在一个群体中的可靠排名。本文采用了系统分析法、统计分析法、逻辑分析法和结构分析法等研究方法。研究结果表明,基于LCMS系统中学生学习的数字化数据,可以有效地解决该任务。
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Building a rating of students in a study group in one discipline when studying in the LCMS system
The article introduces the reader to the functionality of the Dilsi LCMS system in ranking the academic performance of students and is devoted to the problem of using digital technologies in calculating the rating. Recently, students' interest in learning has been declining. Determining the rating of students in the group contributes to solving this urgent problem. The place occupied in the rating encourages the student to get ahead of his own kind, to become a leader in this field of activity. A review of the literature on the topic showed that there is currently dissatisfaction with the current point-rating systems of universities, where ranking is difficult to determine, due to the formalism and complexity of the corresponding calculations. The analysis of the sources confirms the hypothesis about the mechanistic transfer of foreign models to our universities, without observing the principles of functioning laid down in them. The purpose of the study is to propose automation of calculating the reliable ranking of students in a group. Such research methods as a systematic approach, statistical approach, logical and structural analysis were used. As a result of the research, the author came to the conclusion that the task is effectively solved on the basis of digital data of student learning in the LCMS system.
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发文量
29
审稿时长
5 weeks
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