{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T12:20:12Z","timestamp":1753273212747,"version":"3.40.5"},"reference-count":0,"publisher":"Ital Publication","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Emerg Sci J"],"abstract":"<jats:p>Maturity models define a series of levels, each representing an increased complexity in information systems. Data Science appears in the Business Intelligence (BI) and Business Analytics (BA) literature. This work applies the _IABE maturity model, which includes two additional levels: Data Engineering (DE) at the bottom and Business Experimentation (BE) at the top. This study uses the _IABE model for students' modeling in the ModEst project. For this purpose, the Public Administration organism is the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Education Ministry. DGEEC provided vast data on two million students per year in the Portuguese school system, from pre-scholar to doctoral programs. This work presents the comprehensible _IABE maturity model to extract new knowledge from the DGEEC dataset. The method applied is _IABE, where after the DE level, wh-questions are formulated and answered with the most appropriate techniques at each maturity level. This work's novelty is applying the maturity model _IABE to a unique dataset for the first time. Wh-questions are stated at the BI level using data summarization; at the BA level, predictive models are performed, and counterfactual approaches are presented at the BE level.\u00a0Doi: 10.28991\/ESJ-2023-07-06-07 Full Text: PDF<\/jats:p>","DOI":"10.28991\/esj-2023-07-06-08","type":"journal-article","created":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T07:01:12Z","timestamp":1703660472000},"page":"1976-1989","source":"Crossref","is-referenced-by-count":1,"title":["A Data Science Maturity Model Applied to Students' Modeling"],"prefix":"10.28991","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5590-1493","authenticated-orcid":false,"given":"L.","family":"Cavique","sequence":"first","affiliation":[]},{"given":"Paulo","family":"Pombinho","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds","family":"Correia","sequence":"additional","affiliation":[]}],"member":"11530","published-online":{"date-parts":[[2023,12,1]]},"container-title":["Emerging Science Journal"],"original-title":[],"link":[{"URL":"https:\/\/www.ijournalse.org\/index.php\/ESJ\/article\/viewFile\/1968\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ijournalse.org\/index.php\/ESJ\/article\/viewFile\/1968\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T07:01:22Z","timestamp":1703660482000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijournalse.org\/index.php\/ESJ\/article\/view\/1968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,1]]},"references-count":0,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,12,1]]}},"URL":"https:\/\/doi.org\/10.28991\/esj-2023-07-06-08","relation":{},"ISSN":["2610-9182"],"issn-type":[{"type":"electronic","value":"2610-9182"}],"subject":[],"published":{"date-parts":[[2023,12,1]]}}}