Building Data Science Capabilities into University Data Warehouse to Predict Graduation

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http://hdl.handle.net/10138/298769

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Pesonen , J , Fomkin , A & Jokipii , L 2018 , ' Building Data Science Capabilities into University Data Warehouse to Predict Graduation ' , EUNIS 2018 Annual Congress , Pariisi , France , 06/06/2018 - 08/06/2018 pp. 156-158 . < https://indico.conference4me.psnc.pl/event/160/session/8/contribution/55 >

Title: Building Data Science Capabilities into University Data Warehouse to Predict Graduation
Author: Pesonen, Joonas; Fomkin, Anna; Jokipii, Lauri
Other contributor: University of Helsinki, Doctoral Programme in Psychology, Learning and Communication

Date: 2018-06-28
Language: eng
Number of pages: 3
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URI: http://hdl.handle.net/10138/298769
Abstract: The discipline of data science emerged to combine statistical methods with computing. At Aalto University, Finland, we have taken first steps to bring educational data science as a part of daily operations of Management Information Services. This required changes in IT environment: we enhanced data warehouse infrastructure with a data science lab, where we can read predictive model training data from data warehouse database and use the created predictive models in database queries. We then conducted a data science pilot with an objective to predict students’ graduation probability and time-to-degree with student registry data. Further ethical and legal considerations are needed before using predictions in daily operations of the university.
Subject: 113 Computer and information sciences
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