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Dive into the research topics where M Mazzoleni is active.

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Featured researches published by M Mazzoleni.


Journal of Applied Statistics | 2016

Departures from the formal of actual students' university careers: an application of non-homogeneous fuzzy Markov chains

Franca Crippa; M Mazzoleni; Mariangela Zenga

As in most higher education (HE) systems, the Italian university organisation draws paths of credit progression in formal curricula, which aim at framing the acquisition of knowledge and competencies within each specific major. The resulting yearly syllabi therefore develop in a sequence of examinations that are to be successfully passed, and formal administrative registration allows access to the following academic year. In general, there is a divergence between formal and actual career progression because each university student can proceed at her/his own pace, sketching her/his own trajectories, free to depart from the formal progression. Even if applied to various HE settings, Markov chain models do not fit the aforementioned situation. A methodological extension has been introduced, whereby progression levels are considered as fuzzy states. Markov chains with fuzzy states identify the latter with specified academic years and express each students situation as a relational link to present and past academic attainments. This link is operationalised by means of a membership function, which is here discussed with reference to the Italian HE system.


Communications in Statistics-theory and Methods | 2017

The Analysis of student paths at the University using the Multivariate Joint Models

M Mazzoleni

ABSTRACT The joint models analyse jointly survival and longitudinal data and they are composed of two sub-models, the longitudinal and the survival sub-model. It is interesting to analyse the situation in which one or both the sub-models are multivariate. First, it is possible to extend the longitudinal sub-model considering more than one longitudinal covariate. Second, the survival sub-model can be extended considering different competing events. The application proposed analyses the undergraduates’ paths in an Italian University, analysing the influence of one or more longitudinal covariates on the events graduation and dropout (a withdrawal from the University system before the graduation).


Advances in Latent Variables - Methods, Models and Applications | 2013

Never leave a job undone. Fuzzy Markov chains for Italian university students’ retention

Franca Crippa; M Mazzoleni; Mariangela Zenga


49th Scientific meeting of the Italian Statistical Society | 2018

A multivariate extension of the joint models

M Mazzoleni; Mariangela Zenga


SAM 2017 Statistical Analysis of Multi-Outcome Data | 2017

Joint models for survival and bivariate longitudinal data: a likelihood formulation

M Mazzoleni; Mariangela Zenga


Archive | 2016

The Timing of Student Graduation: a Joint Model Approach

M Mazzoleni; Mariangela Zenga; A Marshall


Applied Stochastic Models and Data Analysis (ASMDA) International Society 2015 | 2015

Joint Model of Longitudinal and Time-to-Event Data: an Application to Undergraduates' Careers

M Mazzoleni; A Marshall; Mariangela Zenga


16th Applied Stochastic Models and Data Analysis International Conference | 2015

Analysing the Distance between Formal and Real Path of Students' Career Progression at University

Franca Crippa; M Mazzoleni; Mariangela Zenga


Workshop PRIN 2008 "Ambiti, approcci, modelli e misure per la valutazione in campo educativo", 6-8 giugno 2013, Palermo | 2013

Undergraduate Students' Career in Italy. A non Homogeneous Markov Approach with Fuzzy States

Franca Crippa; M Mazzoleni; Mariangela Zenga


Conference of the International Federation of Classi cation Societies IFCS-2013 | 2013

Gender Differentials In Higher Education: Hints From A Fuzzy States Analysis

Franca Crippa; M Mazzoleni; Mariangela Zenga

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Mariangela Zenga

University of Milano-Bicocca

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Franca Crippa

University of Milano-Bicocca

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