Association analysis of moodle e‐tests in blended learning educational environment
Association analysis of moodle e‐tests in blended learning educational environment
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混合学习教育环境中 Moodle 电子测试的关联分析
DOI：
10.1002/cae.21894
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发表时间：
2018
影响因子：
2.9
通讯作者：
P. Spalevic
中科院分区：
文献类型：
--
作者：
G. Dimić;Bratislav Predić;D. Rancic;V. Petrovic;N. Maček;P. Spalevic
本文提出了在混合学习环境中实施关联分析以改进电子测试过程的建议。这项研究是在计算机图形学Moodle课程中使用知识测试进行的。在预处理阶段，数据矩阵已被创建和准备的过程中发现的重要关系和联系，学生的答案之间的问题，从预备测试和那些测试知识，做的方式，并取得了成果。通过Apriori和Predictive Apriori算法的实现，发现了大量的关联规则。通过实施客观和主观评估措施，选出了重要且有趣的规则。有趣的规则的例子，以及在项目的关系中发现的模式，也被提出。所描述的案例研究的贡献是可见的，提供了重要的反馈，使教师能够更好地了解所创建的测试的概念，并决定如何做出改变，以改善测试。
The paper suggests the implementation of association analysis for improving the process of e‐testing in blended learning environment. The research has been conducted using knowledge tests at the Computer Graphics Moodle Course. In the preprocessing phase, data matrices have been created and prepared for the process of discovering significant relationships and links between students' answers to the questions from preparatory tests and those for testing knowledge, the ways of doing, and achieved results. By implementing Apriori and Predictive Apriori algorithms, a great number of association rules has been discovered. Important and interesting rules have been singled out by implementing objective and subjective assessment measures. The examples of interesting rules, as well as discovered patterns in items' relationships, have also been presented. The contribution of the described case study is visible in providing important feedback which enables the teacher to get a better insight into the concepts of created tests and decide on how to make changes to improve testing.
尝试利用 T 结肠造影中大肠突起病变的分形分析来诊断恶性肿瘤
DOI：
--
发表时间：
2022
期刊：
影响因子：
--
作者：
間宮悠;栃木透
通讯作者：
栃木透