Assessment Information Systems for Decision Support in Schools

A Case Study from Hungary
  • Andreas Breiter
  • Emese Stauke
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 230)


Schools as places for institutionalized learning could be a perfectly suitable domain for knowledge management systems. Making knowledge about teaching and learning as well as school performance available to the relevant stakeholders seems to be a promising approach. The crucial question is how to identify information needs, select the relevant data and how to organize feedback. In this paper, the computer-based support of classroom decisions and school management on the basis of standardized test results will be presented. With the help of these assessment information systems, feedback on different levels for different target groups in the school system can be organized. Reflecting on the rich body of empirical research on management information systems, we will present an example for an assessment information system from Hungary, which has just started with computer-support for data-driven decision-making. This case study illustrates the potential added value for the key stakeholders in the school systems.


Assessment information system decision support 

6. References

  1. Ackoff, R. L. (1967). Management Misinformation Systems. Management Science, 14(4), 147–156.Google Scholar
  2. Alavi, M., & Leidner, D. E. (2001). Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research issues. Management Information Systems Quarterly, 25(1), 107–136.Google Scholar
  3. Balázs, I., & Zempléni, A. (2004). A hozottérték-index és a hozzáadott pedagógiai érték számítása a 2003-as kompetenciamérésben. Új Pedagógiai Szemle, December, 36–50.Google Scholar
  4. Breiter, A., & Light, D. (2004). Decision Support Systems in Schools — from Data Collection to Decision Making. Paper presented at the America’s Conference on Information Systems (AMCIS), New York, NY.Google Scholar
  5. Brown, J. S., & Duguid, P. (2000). The Social Life of Information. Boston, MA: Harvard Business School Press.Google Scholar
  6. Coe, R. (2002). Evidence on the Role and Impact of Performance Feedback in Schools. In A. J. Visscher & R. Coe (Eds.), School Improvement Through Performance Feedback (pp. 3–26). Lisse: Swets & Zeitlinger.Google Scholar
  7. Drucker, P. F. (1989). The New Realities: In Government and Politics. In Economics and Business. In Society and World View. New York, NY: Harper & Row.Google Scholar
  8. Earl, M. J. (200l). Knowledge Management Strategies: Towards a Taxonomy. Journal of Management Information Systems, 18(1), 215–233.Google Scholar
  9. Feldman, M. S., & March, J. G. (1981). Information in Organizations as Signal and Symbol. Administrative Science Quarterly, 26, 171–186.CrossRefGoogle Scholar
  10. Gorry, G. A., & Scott Morton, M. S. (1971). A Framework for Management Information Systems. Sloan Management Review, 13(1), 55–70.Google Scholar
  11. HCSO. (2005). Data of Education (Preliminary data). Retrieved Sep 30th, 2005, from,248221&_dad=portal&_schema=PORTALGoogle Scholar
  12. Heistad, D., & Spicuzza, R. (2003, April). Beyond Zip code analyses: What good measurement has to offer and how it can enhance the instructional delivery to all students. Paper presented at the AERA Conference, Chicago.Google Scholar
  13. Light, D., Honey, M., Heinze, J., Brunner, C., Wexlar, D., Mandinach, E., et al. (2005). Linking Data and Learning — The Grow Network Study. Summary Report. Hew York: EDC’s Center for Children and Technology.Google Scholar
  14. Light, D., Wexler, D., & Heinze, J. (2004). How Practitioners Interpret and Link Data to Instruction: Research Findings on New York City Schools’ Implementation of the Grow Network. Paper presented at the Conference of the American Educational Research Association (AERA), San Diego, CA.Google Scholar
  15. Mitchell, D., & Lee, J. (1998). Quality school portfolio: Reporting on school goals and student achievement. Paper presented at the CRESST Conference, Los Angeles, CA.Google Scholar
  16. Nonaka, I., & Takeuchi, H. (1995). The Knowledge Creating Company. Oxford: Oxford University Press.Google Scholar
  17. Orlikowski, W. J. (1992). The duality of technology: Rethinking the concept of technology in organizations. Organization Science, 3(3), 398–427.CrossRefGoogle Scholar
  18. Sharkey, N., & Murnane, R. (2003). Helping K-12 Educators Learn from Student Assessment Data. Paper presented at the AERA, Chicago.Google Scholar
  19. Spielvogel, B., & Pasnik, S. (1999). From the School Room to the State House: Data Warehouse Solutions for Informed Decision-Making in Education. New York: EDC/Center for Children and Technology.Google Scholar
  20. Teddlie, C., Kochan, S., & Taylor, D. (2002). The ABC+Model for School Diagnosis, Feedback, and Improvement. In A. J. Visscher & R. Coe (Eds.), School Improvement Through Performance Feedback (pp. 75–114). Lisse: Swets & Zeitlinger.Google Scholar
  21. Thorn, C. A. (2001). Knowledge Management for Educational Information Systems: What is the State in the Field? Education Policy Analysis Archives, 9(47).Google Scholar
  22. Thorn, C. A. (2003). Making Decision Support Systems Useful in the Classroom: Designing a Needs Assessment Process. In I. Selwood, A. C. W. Fung & T. Paturi (Eds.), Information Technology in Educational Management. Dordrecht: Kluwer Academic Publishers.Google Scholar
  23. Visscher, A. J. (2002). A Framework for Studying School Performance Feedback Systems. In A. J. Visscher & R. Coe (Eds.), School Improvement Through Performance Feedback (pp. 41–72). Lisse: Swets & Zeitlinger.Google Scholar
  24. Visscher, A. J., & Coe, R. (Eds.). (2002). School Improvement Through Performance Feedback. Lisse: Swets & Zeitlinger.Google Scholar
  25. Weiss, C. H. (1998). Improving the use of evaluations: whose job is it anyway? In A. J. Reynolds & H. J. Walberg (Eds.), Advances in educational productivity, Volume 7 (pp. 263–276). Greenwich: JAI Press.Google Scholar

Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • Andreas Breiter
    • 1
  • Emese Stauke
    • 1
  1. 1.Institute for Information Management University of BremenGermany

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