Art. 08 – Vol. 21 – No. 3 – 2011

Information Quality – A Challenge for e-Learning 3.0

Doina Banciu
National Institute for Research & Development of Informatics – ICI Bucharest
Monica Florea
SIVECO Romania, Victoria Park, Bucharest

Abstract: The transition from the “read” web to the “read/write” web (e-Learning 2.0), and also to the “read/write/collaborate” web, which is the e-learning 3.0 (Edutainment), the features of user-centric web, put the emphasis on the importance of quality information in e-learning systems. Many conceptual models to assess the information quality have been proposed: A Conceptual Framework for Data Quality – CFDQ (Wang & Strong), Klein’s model, PSP/IQ model, etc. Starting from the Wang& Strong’s model, Alkhattabi, Neagu and Cullen proposed a Framework based on a Web-mining approach. Despite the importance of quality evaluation of the content in e-learning systems, there is still work to be done in order to reach a consensus related to the methods and metrics for evaluation of quality information (IQ) and the evaluation standards to be used in e-learning 3.0 generation.

Keywords: e-learning, web 2.0, information quality, conceptual models

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  1. ALKHATTABI, M.; NEAGU, D.; CULLEN, A.: Assessing information quality of e-learning systems : a web mining approach. Computers in Human Behavior 27, 2011, 862-873.
  2. ANDERSON, P.: What is Web 2.0? Ideas, technologies and implications for education. JISC reports., 2007.
  3. BARTOLOMÉ, A.: Web 2.0 and new Learning paradigms, eLearning Papers, No. 8, April 2008, ISSN 1887-1542, 2008.
  4. DOWNES, S.: e-learning 2.0, 2006.
  5. FERL: Evaluating Learning Platforms, 2005.
  6. GARVIN, D.: Managing quality. New York: Macmillan, 1988.
  7. KAHN, B. K.; Strong, D. M.; Wang, R. Y.:Information quality benchmarks: product and service performance. Communications of the ACM, vol. 45, no. 4, pp. 184-192, 2002.
  8. KLEIN, B. D.: When do users detect information quality problems on the World Wide Web? American Conference in Information Systems, 2002.
  9. KNIGHT, S. A.; BURN, J. M.: Developing a Framework for Assessing Information Quality on the World Wide Web. Informing Science 8, pp. 159-172, 2005.
  10. MCGILVRAY, D.: Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Morgan Kaufmann Publishers, 2008.
  11. O’REILLY, T.: What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software, Available:, 2007.
  12. ROSENBERG, M. J.: Beyond E-Learning: Approaches and Technologies to Enhance Organizational Knowledge, Learning and Performance,
  14. SOUMPLIS, A.; KOULOCHERI, E.; XENOS, M.: The Twobility Factor, The 7th International Conference eLearning and Software for Education, Bucharest, 2011.
  15. WANG, R. Y.; STRONG, D. M.: Beyond accuracy: what data quality means to data Consumers. Journal of Management Information Systems 12, no. 4, 1996, pp. 5-34.

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