You are here:

Coping With the Copy-Paste-Syndrome PROCEEDINGS

, , Graz University of Technology, Austria

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Quebec City, Canada ISBN 978-1-880094-63-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

The Copy-Paste Syndrome describes a situation whereby students at all levels are becoming more and more reliant on wide-range of easily-available digital content. This is a universal problem that has to be addressed effectively, especially with the revolutionary development of the Web. Weber (Weber, 2006) refers to it as the Google-Copy-Paste-Syndrome, which according to him will drastically affect the quality of scientific publications, leading to a degradation of the quality of life. The expansion of digital content together with an emerging participative social learning (and E-learning) ecosystem could result in even more devastating implications. As opportunities for the proliferation of such infringements becomes widespread, a holistic solution is required combining an institutional approach together with the application of viable technologies. This paper describes an E-learning ecosystem combined with a copy-paste detection suite to comprehensively address the emerging phenomenon.

Citation

Maurer, H. & Kulathuramaiyer, N. (2007). Coping With the Copy-Paste-Syndrome. In T. Bastiaens & S. Carliner (Eds.), Proceedings of E-Learn 2007--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1071-1079). Quebec City, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 15, 2018 from .

Keywords

View References & Citations Map

References

  1. Alexander, B. (2006). Web 2.0: A New Wave of Innovation for Teaching and Learning?, EDUCAUSE Review, Vol. 41, no. 2 (pp. 32– 44).
  2. Downes,S. (2006). E-learning 2.0, ACM eLearn Magazine. Http://www.elearnmag.org/subpage.cfm?section=articles & Article=29-1
  3. Dreher, H.V., Dreher, L.H., and McKaw, K. (1994). The Active Writing Project-small movements in the real world. Proceedings of AsiaPacific Information Technology in Training and Education, Brisbane, Australia.
  4. Dreher, H., Krottmaier, H., Maurer, H. (2004). What we Expect from Digital Libraries, Journal of Universal Computer Science, Vol 10, no. 9 (pp. 1110-1122).
  5. Dreher, H., Williams,R. (2006). Assisted Query Formulation Using Normalised Word Vector and Dynamic Ontological Filtering: Flexible Query Answering Systems. Proceedings of 7th International Conference, FQAS 2006, Milan, Italy, June 7-10 (pp. 282 – 294).
  6. Duff, A.H., Rogers, D.P., Harris, M.B. (2006). International engineering students-avoiding plagiarism through understanding the Western academic context of scholarship, European Journal of Engineering Education., Vol. 31, no. 6 (pp. 673-681).
  7. Eissen, S., Stein, B. (2006). Intrinsic Plagiarism Detection. In: Proceedings of the 28th European Conference on Information Retrieval; Lecture Notes in Computer Science, vol. 3936, Springer Pub. Co. (pp. 565-569).
  8. Helic, D., Krottmaier, H., Maurer, H., and Scerbakov, N. (2003). Implementing Project-Based Learning in WBT Systems, Proceedings of E-Learn 2003, AACE, Charlottesville, USA (pp 2189-2196).
  9. Kennedy,I. (2004). An assessment strategy to help forestall plagiarism problems. Studies in Learning, Evaluation, Innovation and Development: Vol. 1, no. 2 (pp. 1– 8).
  10. Krottmaier, H., and Helic, D. (2002). More than Passive Reading: Interactive Features in Digital Libraries. Proceedings of E-Learn 2002, AACE, Charlottesville, USA (pp. 1734-1737).
  11. Kulathuramaiyer, N., Maurer, H. (2007). Why is Fighting Plagiarism and IPR Violation Suddenly of Paramount Importance?. Proceedings of International Conference on Knowledge Management, World Scientific, Vienna, August 2007.
  12. Liu,C., Chen, C., Han,J., and Yu,P.S. (2006). GPLAG: Detection of Software Plagiarism by Program Dependence Graph Analysis. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2006, Philadelphia, USA (pp. 872-881).
  13. Maurer, H., Kappe, F., Zaka, B. (2006). Plagiarism-a Survey. Journal of Universal Computer Science, Vol.12, no. 8 (pp. 1050-1084).
  14. Ong, S.C., Kulathuramaiyer, N., Yeo, A.W. (2006). Automatic Discovery of Concepts from Text, Proceedings of the IEEE/ACM/WIC Conference on Web Intelligence 2006 (pp.1046-1049).
  15. Paper Mills (2007). Http://www.coastal.edu/library/presentations/mills2.html
  16. Stanley, M. (2005). Website, http://www.morganstanley.com/institutional/techresearch/gsb112005.html ,
  17. WBT Master White Paper (2006). Http://www.coronet.iicm.edu
  18. Weber, S. (2006). Das Google-Copy-Paste-Syndrom. Wie Netzplagiate Ausbildung und Wissen gefä hrden, Heise, Hannover.

These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact info@learntechlib.org.