The paper aims to prove how suitable the Sequence Analysis’ tools are for studying the complexity of Italian Higher Education System. Through longitudinal administrative data of a cohort (AY 2001-2002) of enrolled for the first time at Sapienza University of Roma, this approach permits to: (1) describe the phenomena of late graduate and late performance (retention); (2) identify different type of students’ dropping out (attrition); (3) evaluate others particular phenomena (that are frequent in Italy) that can delay the students’ career (as such as intra or extra faculty mobility).
Decataldo, A., & D'Alessandro, G. (2016). Research of Students’ Performance in Higher Education through Sequence Analysis. In Proceedings of the International Conference on Sequence Analysis and Related Methods (pp.721-736).
Citazione: | Decataldo, A., & D'Alessandro, G. (2016). Research of Students’ Performance in Higher Education through Sequence Analysis. In Proceedings of the International Conference on Sequence Analysis and Related Methods (pp.721-736). | |
Tipo: | paper | |
Carattere della pubblicazione: | Scientifica | |
Presenza di un coautore afferente ad Istituzioni straniere: | No | |
Titolo: | Research of Students’ Performance in Higher Education through Sequence Analysis | |
Autori: | Decataldo, A; D'Alessandro, G | |
Autori: | ||
Data di pubblicazione: | 2016 | |
Lingua: | English | |
Nome del convegno: | Conference on Sequence Analysis and Related Methods | |
Appare nelle tipologie: | 02 - Intervento a convegno |
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File | Descrizione | Tipologia | Licenza | |
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lacosa2-proceedings.pdf | N/A | Open Access Visualizza/Apri |