Modle二次开发研究之数据挖掘

Moodle secondary development research of data mining

Moodle开源教学平台在我国教育领域得到广泛应用,为推动Moodle平台更深层次应用,以Moodle平台Feedback板块为例,结合学生C语言考试成绩,探讨Moodle平台数据的挖掘需求以及相应的挖掘方法。通过建立决策树、将数据规则可视化,探讨影响学生计算机成绩优良的因素,为优化学习、教学提供了科学参考。

Moodle, an open source Elearning platform, has found broad application in China’s education sector. To bring the ap-plication of Moodle platform to a higher level, the paper discusses Moodle platform’s data mining needs and relevant data mining methods by taking the Feedback module of Moodle platform for example and combining students’scores of C Programming Lan-guage examination. It also discusses factors influencing students’grades on computer courses through the creation of decision tree and the visualization of data rules, which provides a scientific guidance for optimizing learning and teaching.