This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Analisi di secondo livello del questionario E-Learning CTU

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Stefano Maria IACUS ()
Ilia NEGRI ()

Additional information is available for the following registered author(s):

Abstract

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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.economia.unimi.it/uploads/wp/Deas2008_22wp.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Department of Economics University of Milan Italy in its series Departemental Working Papers with number 2008-22.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 07 Jul 2008
Date of revision:
Handle: RePEc:mil:wpdepa:2008-22

Contact details of provider:
Postal: Via Conservatorio 7, I-20122 Milan - Italy
Phone: +39 02 50321522
Fax: +39 02 50321505
Web page: http://www.economia.unimi.it
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Daniele Checchi).

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

Find related papers by JEL classification:
I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? RePEc and its associated services are free for contributors and users, and do not accept any advertising.

This page was last updated on 2009-11-12.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.