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Education and Information Technologies

, Volume 13, Issue 3, pp 221–230 | Cite as

Evaluating a web based intelligent tutoring system for mathematics at German lower secondary schools

  • Martin Graff
  • Peter Mayer
  • Morena Lebens
Article

Abstract

The present study researches the implementation of a web based intelligent tutoring system for mathematics at lower secondary schools. In recent years, there is growing concern about the worrying situation at German lower secondary schools. Data from large scale educational assessments in the county of North Rhine-Westphalia (NRW) show that children at lower secondary schools have an embarrassing paucity of basic mathematical skills (Leutner et al., Lernstandserhebungen 9. Klasse 2004 in NRW: Erster Kurzbericht zur wissenschaftlichen Begleitung, 2004). In order to improve these basic mathematical skills in lower secondary school children, several schools implemented the web based intelligent tutoring system eFit. The aim of the present research was to investigate whether eFit constitutes an effective intervention of this target group. The results show that compared to a non-treatment control group, children in the eFit group significantly improved their arithmetic performance over a period of 9 months. As will be discussed, the findings have to be treated with cautions because eFit was specifically designed to alleviate mathematical difficulties and therefore “trained for the test” whereas traditional mathematics instruction followed the regular curriculum. The implications of this will be considered in the light of existing theory and research.

Keywords

Web based instruction Intelligent tutoring system Low achievers 

References

  1. Clark, R. E. (1983). Reconsidering research on learning from media. Review of Educational Research, 53(4), 445–459.Google Scholar
  2. Clark, R. E. (1985). Confounding in educational computing research. Journal of Educational Computing Research, 1(2), 137–148.Google Scholar
  3. Ells, R. (March, 1998). Effective use of the Web for education: Design principles and pedagogy. Retrieved from http://weber.u.washington.edu/~rells/workshops/design/.
  4. Fletcher, J. D. (2003). Evidence for learning from technology-assisted instruction. In H. F. O’Neill Jr., & R. S. Perez (Eds.), Technology applications in education: A learning view. Mahwab, NJ: Lawrence Erlbaum Associates.Google Scholar
  5. Joy, E. H., & Garcia, F. E. (2000). Measuring learning effectiveness: a new look at no-significant-difference findings. Journal of Asynchronous Learning Network, 4(1), 33–39.Google Scholar
  6. Lauterbach, K. W. (2007). Der Zweiklassenstaat p. Rowohlt. Hamburg, Germany.Google Scholar
  7. Leutner, J., Wirth, & J. Fleischer (2004) Lernstandserhebungen 9. Klasse 2004 in NRW: Erster Kurzbericht zur wissenschaftlichen Begleitung. Retrieved June 16, 2005, from http://www.bildungsportal.nrw.de.
  8. Murray, T. (1999). Authoring intelligent tutoring systems: an analysis of the state of the art. International Journal of Artificial Intelligence in Education, 10, 98–129.Google Scholar
  9. Rekus, J., Hintz, D., & Ladenthin, V. (1998). Die Hauptschule. Alltag, Reform, Geschichte p. Juvena. Theorie, Weinheim.Google Scholar
  10. Rosic, M., Glavinic, V., & Stankov, S. (2006). Intelligent tutoring systems for the new learning infrastructure. AIS SIGSEMIS Bulletin, 2(4), 23.Google Scholar
  11. Rösner, E. (2007). Hauptschule am Ende. Ein Nachruf p. Waxmann. Berlin.Google Scholar
  12. Sitzmann, T., Kraiger, K., Stewart, D., & Wisher, R. (2006). The comparative effectiveness of Web-based and classroom instruction: a meta-analysis. Personnel Psychology, 59, 623–664. doi: 10.1111/j.1744-6570.2006.00049.x.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.University of GlamorganPontypriddUK

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