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ETL Preprocessing with Multiple Data Sources for Academic Data Analysis

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dc.contributor.author Mhon, Gant Gaw Wutt
dc.contributor.author Kham, Nang Saing Moon
dc.date.accessioned 2021-01-31T11:01:58Z
dc.date.available 2021-01-31T11:01:58Z
dc.date.issued 2020-02-28
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/2558
dc.description.abstract More and more, the needs of academic data analysis are requiring in educational settings for the purpose of improving student learning and institutional effectiveness. In the education world, testing and data are driving decisions for what knowledge and skills students should be learning and how students’ learning relates to their learning outcomes. On that occasion, a better option for building a machine learning model is to get effective data preprocessing concepts. For these reasons, this paper describes the very first step of the main research work which considers the correlations between students’ academic performance, behavior and personality traits to reveal the presence of an intriguing way. Intuitively, this paper proposes the uses of Extraction-Transformation-Loading (ETL) in the preprocessing stage to collect and analyze of students’ data from multiple data sources. In this system, data is collected from multiple data sources based on the structures which are used as a testbed. Students’ demographic data and assessment results from Student Information System (SIS), logs of their interaction with Moodle are used for data collection. Then aggregating with Web logs also captures student behavior that is represented by daily summaries of student clicks based on courses and by their actions. en_US
dc.language.iso en en_US
dc.publisher Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020) en_US
dc.subject machine learning en_US
dc.subject data preprocessing en_US
dc.subject ETL en_US
dc.subject multiple data sources en_US
dc.subject demographic data en_US
dc.subject assessment results en_US
dc.subject Moodle logs en_US
dc.subject Web logs en_US
dc.title ETL Preprocessing with Multiple Data Sources for Academic Data Analysis en_US
dc.type Article en_US

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