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Mining Sequential Patterns of Students' Access on Learning Management System

机译:学习管理系统中学生访问的顺序模式挖掘

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Novel pedagogical approaches supported by digital technologies such as blended learning and flipped classroom are prevalent in recent years. To implement such learning strategies, learning resources are often put online on learning management systems. The log data on those systems provide an excellent opportunity for getting more understanding about the students through data mining techniques. In this paper, we propose to use sequential pattern mining (SPM) to discover navigational patterns on a learning platform. We attempt to address the lack of literature support about conducting SPM on Moodle. We propose a method to apply SPM that is more appropriate for mining user navigational patterns. We further propose three sequence modeling strategies for mining patterns with educational implications. Results of a study on a statistics course show the effectiveness of the proposed method and the proposed sequence modeling strategies.
机译:近年来,由混合学习和翻转教室等数字技术支持的新颖教学方法十分流行。为了实施这样的学习策略,通常将学习资源在线放在学习管理系统上。这些系统上的日志数据提供了一个极好的机会,可以通过数据挖掘技术来进一步了解学生。在本文中,我们建议使用顺序模式挖掘(SPM)在学习平台上发现导航模式。我们试图解决有关在Moodle上进行SPM的文献支持不足的问题。我们提出了一种更适合于挖掘用户导航模式的SPM应用方法。我们进一步提出了三种具有挖掘意义的挖掘模式的序列建模策略。统计课程的研究结果表明了该方法和序列建模策略的有效性。

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