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Analisi di secondo livello del questionario E-Learning CTU


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  • Stefano Maria IACUS


  • Ilia NEGRI



Analysis of the E-Learning survey at University of Milan. In this work we use several statistical techniques to studythe data from a survey on the faculty staff of the University of Milan on E-Learning practices. In particularly, the analysis wasfocused on the identification of typical profiles of lecturerswith propensity of using E-Learning practice and lecturers withadverse opinion. We also analyzed causes of success and failureof the penetration of E-Learning in the different Schools atthe University of Milan. Techniques of data reduction andadvanced statistical tools (like classification and regression trees, basket analysis, etc. ) have been applied and, althoughthe evidence from this study applies only to University of Milan,the proposed framework of analysis is of general applicability.

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Bibliographic Info

Paper provided by Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano in its series Departmental Working Papers with number 2008-22.

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Date of creation: 07 Jul 2008
Date of revision:
Handle: RePEc:mil:wpdepa:2008-22

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Related research

Keywords: CART; basket analysis; E-Learning; feature selection; data analysis;

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