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 >
Julkaisun nimi: | Building Data Science Capabilities into University Data Warehouse to Predict Graduation |
Tekijä: | Pesonen, Joonas; Fomkin, Anna; Jokipii, Lauri |
Tekijän organisaatio: | Doctoral Programme in Cognition, Learning, Instruction and Communication Department of Education |
Päiväys: | 2018-06-28 |
Kieli: | eng |
Sivumäärä: | 3 |
Kuuluu julkaisusarjaan: | |
URI: | http://hdl.handle.net/10138/298769 |
Tiivistelmä: | 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. |
Kuvaus: | EUNIS 2018 Congress, Tuesday 5 June - Friday 8 June 2018, Centre de Conférences, UPMC, Sorbonne Université, Paris. Proceedings. EUNIS European University Information Systems, Paris, 2018 |
Avainsanat: | 113 Computer and information sciences |
Vertaisarvioitu: | Kyllä |
Pääsyrajoitteet: | openAccess |
Rinnakkaistallennettu versio: | acceptedVersion |
Latausmäärä yhteensä: Ladataan...
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