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Competences and Professional Options of the Italian Graduates: Results from the Textual Analysis of the Degree Course Information Data

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Statistical Methods for the Evaluation of University Systems

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

The present chapter, developed within a research project promoted by the National Committee for the Evaluation of the University System (CNVSU, the complete report is available on www.cnvsu.it), analyses the Italian university offer, focusing on the communication adopted by the Universities to publicise their objectives and the results expected, also with respect to the potential employments. The analysed documents are the course information sheets of all the 3-year degree courses and some specialised (2-year) degree courses, contained in the OFF.F database of the Ministry of the University (MIUR) for the academic year 2005/2006. The research pursued the following aims:

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References

  1. Balbi S (1995) Non symmetrical correspondence analysis of textual data and confidence regions for graphical forms. In: Bolasco S et al (eds) Actes des 3es JADT, Journées internationales d’Analyse statistique des Données Textuelles. CISU, Roma

    Google Scholar 

  2. Balbi S, Di Meglio E (2004) A text mining strategy based on local contexts of words. In: Purnelle G et al (eds) JADT04 Le poids des mots. Press Universitaire de Louvain, Louvain

    Google Scholar 

  3. Balbi S, Misuraca M (2005) Visualization Techniques in non symmetrical relationships. In: Sirmakessis S (ed) Knowledge mining (studies in fuzziness and soft Computing). Springer, Berlin

    Google Scholar 

  4. Grassia MG, Misuraca M, Scepi G (2004) Relazioni non Simmetriche tra Corpora. In: Purnelle G et al (eds) JADT04 Le poids des mots. Press Universitaire de Louvain, Louvain

    Google Scholar 

  5. Lauro NC, D’Ambra L (1984) L’analyse non symetrique des correspondances. In: Diday E et al (eds) Data analysis and informatics, vol III. North-Holland, Amsterdam

    Google Scholar 

  6. Lebart L, Salem A, Berry L (1998) Exploring textual data. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  7. Misuraca M (2005) La visualizzazione dell’informazione testuale. Contributi metodologici e applicativi, Tesi di Dottorato in Statistica, Dipartimento di Matematica e Statistica, Università di Napoli “Federico II”

    Google Scholar 

  8. Morrone A (1993) Alcuni criteri di valutazione della significatività dei segmenti ripetuti. In: Anastex SJ (ed) JADT93, Actes des secondes Journées Internationales d’Analyse Statistique de Données Textuelles, ENSTelecom, Paris

    Google Scholar 

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Balbi, S., Crocetta, C., Romano, M., Zaccarin, S., Zavarrone, E. (2011). Competences and Professional Options of the Italian Graduates: Results from the Textual Analysis of the Degree Course Information Data. In: Attanasio, M., Capursi, V. (eds) Statistical Methods for the Evaluation of University Systems. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2375-2_13

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