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Use of Educational Resources and Academic Performance: Analysis and Comparison for the Degree on Engineering of Industrial Technologies

机译:教育资源的利用和学习成绩:工业技术工程学位的分析与比较

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User footprint left in Virtual Learning Environments (VLE) can be used to monitor the learning process, to reduce dropout rates by identifying risk cases, to ensure and improve quality, and could be precursor of the, so persecuted, adaptive or personalized learning. All of this has opened a new field of research in education called Learning Analytics (LA). The objective of the present work is to apply LA methodology for analyzing the behavior of students with regards to Moodle activities and resources with the final aim of improving learning outcomes. The data collected from the Moodle platform are analyzed in spreadsheets, without help of any specific tool, and compared for the last three academic years. Specifically, results of general activity, visualization of educational videos, parameters related to solve different questionnaires and use of other learning resources are here presented and discussed.
机译:虚拟学习环境(VLE)中留下的用户足迹可用于监视学习过程,通过识别风险案例来降低辍学率,确保和提高质量,并且可以成为迫切,适应性或个性化学习的先驱。所有这些都为教育研究开辟了一个新领域,即学习分析(LA)。本工作的目的是将洛杉矶方法论用于分析学生在Moodle活动和资源方面的行为,最终目的是改善学习成果。从Moodle平台收集的数据将在电子表格中进行分析,而无需任何特定工具的帮助,并在过去三个学年中进行比较。具体来说,这里介绍和讨论一般活动的结果,教育视频的可视化,解决不同问卷的参数以及其他学习资源的使用。

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