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Advantages and Challenges of 1-1 laptop projects: the case of 23 Canadian schools in underprivileged contexts

, University of Montreal, Canada ; , University of Quebec in Montreal, Canada ; , , University of Montreal, Canada

Society for Information Technology & Teacher Education International Conference, in New Orleans, Louisiana, United States ISBN 978-1-939797-02-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA


The overall goal of this study was to better understand of the advantages and challenges of using laptops in 23 Canadian primary and secondary schools located in underprivileged contexts. In all, more than 2400 students (grades 3 to 11), 272 teachers, 14 education support staff and three school principals participated in the data collection. Three main data collection instruments were used: survey questionnaires, individual semi-directed interviews, and group interviews. Overall, the data collected highlights 12 main benefits of using laptops as well as four major challenges. The preliminary results of this study indicate that the ‘one laptop per child’ strategy fully contributes to students’ academic success at the participating schools, even in underprivileged contexts. The lesson retained is that, despite the technical and pedagogical challenges, this innovative initiative to provide ‘one laptop per child’ in underprivileged contexts has produced incontestable gains in both teaching and learning, and for the future social and professional lives of the students involved.


Karsenti, T., Collin, S., Dumouchel, G. & Dupuis, A. (2013). Advantages and Challenges of 1-1 laptop projects: the case of 23 Canadian schools in underprivileged contexts. In R. McBride & M. Searson (Eds.), Proceedings of SITE 2013--Society for Information Technology & Teacher Education International Conference (pp. 1886-1893). New Orleans, Louisiana, United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 26, 2019 from .

View References & Citations Map


  1. Beck, R.C. (2003). Motivation: Theories and principles. New York, NY: Prentice Hall.
  2. Behrens, J.T., & Smith, M.L. (1996). Data and data analysis. In D. Berliner & B. Calfee (Eds.), Handbook of educational psychology (pp. 945-989). New York, NY: Macmillan.
  3. Caracelli, V.J., & Greene, J.C. (1993). Data analysis strategies for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 15(2), 195-207.
  4. Karsenti, T., & Dumouchel, G. (2011). Former aux compétences informationnelles au Québec: une mission partagée. Manuscript submitted for publication.
  5. Karsenti, T., Komis, V., Depover, C., & Collin, S. (2011). La recherche en éducation à l ’ ère des TIC. In T. Karsenti, T. & L. Savoie-Zajc (Eds.), La recherche en éducation: étapes et approches (4th Ed.). Ville Saint-Laurent, QC: É ditions du Renouveau Pédagogique. McLester, S.
  6. Organisation for Economic Co-operation and Development. (2008). New millennium learners: Initial findings on the effect of digital technologies on school-age learners. Paris, France: OECD.
  7. Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1-6.
  8. UNESCO. (2005). Vers les sociétés du savoir. Paris, France: É ditions UNESCO.

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