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Instructional instruments for grouping, intervention, and strategy analysis on web group learning systems

机译:用于编组,干预和对Web组学习系统的战略分析的教学仪器

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Without the chance of face-to-face communication, the students of web based learning systems need to study alone without peer support and pressure. A teacher may apply the group learning model to solve this problem. To ensure a good learning achievement of groups, the teacher should do heterogeneous grouping, manage and monitor the group learning, and apply proper actions and teaching strategies. However, the teacher can only get information by watching on the huge amount of web interactions or access logs. It will be of great burden of the teacher. In this paper, we devised instruments for grouping, intervention and strategy analysis. First, the clustering mechanism is used for automatic heterogeneous grouping. At the same time, the database techniques are applied to record and transform student logs to the feature space that is defined by the teacher. Then, we apply the cube technique to summarize meaningful information to the teacher. Associate rule mechanism is also devised to help the teachers analyze their teaching strategies. By the assisting of these tools, the teacher can be relieve from burden of tedious works and focus on managing and intervening the groups to promote learning achievement of the students.
机译:如果没有面对面的通信的机会,基于Web的学习系统的学生需要单独学习,没有同伴支持和压力。教师可以应用组学习模型来解决这个问题。为确保良好的学习成就群体,老师应该做异质分组,管理和监控集团学习,并采用适当的行动和教学策略。但是,老师只能通过观看大量的Web交互或访问日志来获取信息。这将是老师的巨大负担。在本文中,我们设计了用于分组,干预和战略分析的仪器。首先,聚类机制用于自动异构分组。同时,将数据库技术应用于记录和转换学生日志到教师定义的要素空间。然后,我们应用多维数据集技术将有意义的信息归功于老师。助理规则机制也设计为帮助教师分析其教学策略。通过协助这些工具,老师可以免受繁琐的作品的负担,并专注于管理和干预团体,促进学生的学习成就。

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