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Incorporating Data Warehouses into Data Pipelines for Deploying Learning Analytics Dashboards.

2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA)(2023)

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摘要
From the data loading to the final reporting, a Learning Analytics (LA) cycle should be an articulated yet structured and repeatable process. Data from the online students' activity can be arranged and organized in Data Warehouses (DWs) to facilitate pre-processing tasks. These data can feed an LA cycle for producing the final reporting. In this work, we propose an integrated process of educational data management for creating insightful knowledge. Firstly, an education-oriented DW schema is presented. Additionally, a data pipeline that loads data from the DW and supports all the LA processes is described. The results are presented to the front-end user through an LA dashboard that focuses on students' social interaction in their learning community. The process is tested in educational data from a Distance Learning postgraduate program.
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关键词
Learning Analytics,Data warehouses,Data Pipelines,Social Network Analysis,Dashboards
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