Computers and Student Learning: Bivariate and Multivariate Evidence on the Availability and Use of Computers at Home and at School
Thomas Fuchs and
Ludger Wößmann
Authors registered in the RePEc Author Service: Ludger Woessmann
No 8, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich
Abstract:
We estimate the relationship between computers and students’ educational achievement in the international student-level PISA database. Bivariate analyses show a positive correlation between achievement and computer availability both at home and at school. However, once we control extensively for family background and school characteristics, the relationship gets negative for home computers and insignificant for school computers. Thus, mere availability of computers at home seems to distract students from effective learning. But achievement shows a positive conditional relationship with computer use for education and communication at home and an inverted U-shaped relationship with computer and internet use at school.
JEL-codes: I20 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.ifo.de/DocDL/IfoWorkingPaper-8.pdf (application/pdf)
Related works:
Journal Article: Computers and student learning: bivariate and multivariate evidence on the availability and use of computers at home and at school (2004) 
Working Paper: Computers and Student Learning: Bivariate and Multivariate Evidence on the Availability and Use of Computers at Home and at School (2004) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ces:ifowps:_8
Access Statistics for this paper
More papers in ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().