An Assessment of Content Quality in Websites of Basic and Secondary Portuguese Schools

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 275)

Abstract

Web sites are the face of institutions, but evidence shows that they are frequently overlooked, especially where contents are concerned. The research presented in this paper intended to measure the quality of the data in institutional Web sites of basic and secondary schools. Accordingly, we adopted and adapted a proven measurement approach and carried out a study with a group of teachers from a convenience sample involving basic and secondary schools. Most of the participants in this study stated that the Web sites displayed, completely or partially, most of the thirty three quality attributes, expressing some disappointment with the quality of four attributes only: documentation, interactivity, security and customer support. On the other hand, most of the participants did not express any opinion concerning two of the attributes: novelty and validity.

Keywords

Data Quality Content Quality Web Quality Basic and Secondary School Web Sites 

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References

  1. 1.
    Brandão, P.L., Victor, J.A., Rocha, A.: The Health Web Sites Importance as Justification for the Development of a Wide Evaluation Methodology of its Quality. In: 2010 6th World Congress on Services, Miami, FL, USA, pp. 268–272 (2010), doi:10.1109/SERVICES.2010.129Google Scholar
  2. 2.
    Calero, C., Caro, A., Piattini, M.: An Applicable Data Quality Model for Web Portal Data Consumers. World Wide Web - Internet and Web Information Systems 11(4), 465–484 (2008), doi:10.1007/s11280-008-0048-yGoogle Scholar
  3. 3.
    Caro, A., Calero, C., Caballero, I., Piattini, M.: Defining a data quality model for web portals. In: Aberer, K., Peng, Z., Rundensteiner, E.A., Zhang, Y., Li, X. (eds.) WISE 2006. LNCS, vol. 4255, pp. 363–374. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Caro, A., Calero, C., Caballero, I., Piattini, M.: A proposal for a set of attributes relevant for Web portal data quality. Software Quality Journal 16(4), 513–542 (2008), doi:10.1007/s11219-008-9046-7.CrossRefGoogle Scholar
  5. 5.
    Eppler, M., Helfert, M., Gasser, U.: Information Quality: Organizational, Technological, and Legal Perspectives. Studies in Communication Sciences 4(2), 1–16 (2004)Google Scholar
  6. 6.
    Evans, M.W.J., Perle, S.M., Ndetan, H.: Chiropractic wellness on the web: the content and quality of information related to wellness and primary prevention on the Internet. Chiropractic & Manual Therapies 19(1):4, 1–7 (2011), doi:10.1186/2045-709X-19-4Google Scholar
  7. 7.
    Fortin, M.F.: Fundamentos e Etapas no Processo de Investigação. Editora Lusodidacta, Loures (2009) ISBN 9789898075185 (in Portuguese)Google Scholar
  8. 8.
    ISO/IEC. ISO/IEC 9126-1:2001: Software engineering – Product quality – Part 1: Quality model. International Organization for Standardization (2001)Google Scholar
  9. 9.
    ISO/IEC. ISO/IEC 25012:2008: Software engineering – Software product Quality Requirements and Evaluation (SQuaRE) – Data quality model. International Organization for Standardization (2008)Google Scholar
  10. 10.
    ISO/IEC. ISO/IEC 25010:2011: Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – System and software quality models. International Organization for Standardization (2011)Google Scholar
  11. 11.
    Knight, S., Burn, J.: Developing a Framework for Assessing Information Quality on the World Wide Web Introduction – The Big Picture What Is Information Quality? Informing Science Journal 8, 160–172 (2005)Google Scholar
  12. 12.
    Leacock, T.L., Nesbit, J.C.: A Framework for Evaluating the Quality of Multimedia Learning Resources. Educational Technology & Society 10(2), 44–59 (2007)Google Scholar
  13. 13.
    Mcallister, S.M., Taylor, M.: Community college web sites as tools for fostering dialogue. Public Relations Review 33, 230–232 (2007), doi:10.1016/j.pubrev.2007.02.017Google Scholar
  14. 14.
    Moraga, C., Moraga, M.Á., Caro, A., Calero, C.: SPDQM: SQuaRE-Aligned Portal Data Quality Model. In: Ninth International Conference on Quality Software, QSIC 2009, Jeju, Korea, August 24-25, pp. 1–5 (2009), doi:10.1109/QSIC.2009.23Google Scholar
  15. 15.
    Moraga, C., Moraga, M.Á., Caro, A., Calero, C.: Modeling the intrinsic quality of web portal data. In: 13th Workshop on Quantitative Approaches on Object-Oriented Software Engineering and Related Paradigms, Málaga, Spain, pp. 1–12 (July 2, 2010)Google Scholar
  16. 16.
    Park, M.W., Jo, J.H., Park, J.W.: Quality and content of internet-based information on temporomandibular disorders. Journal Orofacial Pain 26(4), 296–306 (2012)Google Scholar
  17. 17.
    Parker, M.B., Moleshe, V., De la Harpe, R., Wills, G.B.: An evaluation of Information quality frameworks for the World Wide Web. In: 8th Annual Conference on WWW Applications, Bloemfontein, Free State Province, South Africa, September 8-6, pp. 1–11 (2006)Google Scholar
  18. 18.
    Pipino, L.L., Lee, Y.W., Wang, R.Y.: Data Quality Assessment. Communications of the ACM 45(4ve), 211–218 (2002), doi:10.1145/505999.506010Google Scholar
  19. 19.
    Rocha, A.: Framework for a Global Quality Evaluation of a Website. Online Information Review - The International Journal of Digital Information Research and Use 35(3), 374–382 (2012), doi:10.1108/14684521211241404Google Scholar
  20. 20.
    Ruževičius, J., Gedminaitė, A.: Peculiarities of the Business Information Quality Assessment. Vadyba/Management 1(14), 54–60 (2007)Google Scholar
  21. 21.
    Santos, R.: Usabilidade de interfaces para sistemas de recuperação de informação na Web, pp. 10–15 (2006), http://www2.dbd.pucrio.br/pergamum/tesesabertas/0313143_06_cap_07.pdf (retrieved on May 10, 2012) (in Portuguese)
  22. 22.
    Silva, E., Castro, L.: A internet como forma interativa de busca de informação sobre saúde pelo paciente. Revista Textos de la CiberSociedad 16, 1–6 (2008) ISSN: 1577-3760Google Scholar
  23. 23.
    Wang, R.Y., Strong, D.M.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems 12(4), 5–33 (1996)MATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Agrupamento de Escolas Dr. Carlos Pinto FerreiraJunqueira – Vila do CondePortugal
  2. 2.Pólo II - Pinhal de MarrocosUniversidade de CoimbraCoimbraPortugal

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