AAT: a tool for accessing and analysing students' behaviour data in learning systems

S. Graf, C. Ives, Nazim Rahman, Arnold Ferri
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引用次数: 76

Abstract

In online learning environments, teachers and course designers often get little feedback about how students actually interact with and learn in online courses. Most of the learning systems used by educational institutions store comprehensive log data associated with students' behaviours and actions. However, these systems typically reveal or report on very general and limited information based on this data. In order to provide teachers and course designers with more detailed and meaningful information about students' behaviour and their use of learning resources within online courses, an analytics tool has been developed. The tool incorporates functionality to access and analyse data related to students' behaviours in learning systems. This tool can provide valuable information about students' learning processes allowing the identification of difficult or inappropriate learning material, and can therefore significantly contribute to the design of improved student support activities and resources.
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AAT:在学习系统中获取和分析学生行为数据的工具
在在线学习环境中,教师和课程设计者通常很少得到关于学生如何在在线课程中实际互动和学习的反馈。教育机构使用的大多数学习系统都存储与学生行为和行动相关的全面日志数据。然而,这些系统通常显示或报告基于这些数据的非常一般和有限的信息。为了向教师和课程设计者提供有关学生行为和他们在在线课程中使用学习资源的更详细和有意义的信息,开发了一种分析工具。该工具包含访问和分析与学习系统中学生行为相关的数据的功能。该工具可以提供有关学生学习过程的宝贵信息,从而识别困难或不适当的学习材料,因此可以为设计改进的学生支持活动和资源做出重大贡献。
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