Skip to main content
SpringerLink
Log in

Using an Intelligent Tutoring System with Plagiarism Detection to Enhance e-Assessment

  • Conference paper
  • First Online:
Advances in Intelligent Networking and Collaborative Systems (INCoS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 23))

Abstract

Nowadays, online learning has become a promising solution to personalize and increase flexibility in the learning-teaching process. However, e-assessment is still questioned in terms of authorship and identity checking. Some virtual learning environments are introducing technological solutions, such as plagiarism detection tools, to increase the security when submitting assessment activities. However, this is a partial solution. When the activities are performed on third-party tools, as it is the case of intelligent tutoring systems, the identity and authorship checking can fail. This paper introduces a modular plagiarism detection tool that combines different input data sources in order to verify the authorship. A case study is presented to show the potential of the tool.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://moodle.org/.

  2. 2.

    http://www.blackboard.com/index.html.

  3. 3.

    https://github.com/Jetsetter/dhash.

References

  1. Herr, N., Rivas, M., Chang, T., Tippens, M., Vandergon, V., d’Alessio, M., Nguyen-Graff, D.: Continuous formative assessment (CFA) during blended and online instruction using cloud-based collaborative documents. In: Koç, S., Wachira, P., Liu, X. (Eds.) Assessment in Online and Blended Learning Environments (2013)

    Google Scholar 

  2. Kearns, L.R.: Student assessment in online learning: challenges and effective practices. J. Online Learn. Teach. 8(3), 198 (2012)

    Google Scholar 

  3. Callan, V.J., Johnston, M.A., Clayton, B., Poulsen, A.L.: E-assessment: challenges to the legitimacy of VET practitioners and auditors. J. Vocat. Educ. Training 68(4), 416–435 (2016). https://doi.org/10.1080/13636820.2016.1231214

    Article  Google Scholar 

  4. Kaczmarczyk, L.C.: Accreditation and student assessment in distance education: why we all need to pay attention. SIGCSE Bull. 33(3), 113–116 (2001)

    Article  Google Scholar 

  5. Walker, R., Handley, Z.: Designing for learner engagement with e-assessment practices: the LEe-AP framework. In: 22nd Annual Conference of the Association for Learning Technology, University of Manchester, UK (2015)

    Google Scholar 

  6. Ivanova, M., Rozeva, A., Durcheva, M.: Towards e-Assessment models in engineering education: problems and solutions. In: International Conference on Web-Based Learning, pp. 178–181. Springer, Heidelberg (2016)

    Google Scholar 

  7. Baneres, D., Rodríguez, M.E., Guerrero-Roldán, A.E., Baró, X.: Towards an adaptive e-Assessment system based on trustworthiness. In: Caballé, S., Clarisó, R. (Eds.) Formative Assessment, Learning Data Analytics and Gamification in ICT Education, pp. 25–47. Elsevier (2016)

    Google Scholar 

  8. The TeSLA project website. http://tesla-project.eu/. Accessed 15 May 2018

  9. Baneres, D., Clariso, R., Jorba, J., Serra, M.: Experiences in digital circuit design courses: a self-study platform for learning support. IEEE Trans. Learn. Technol. (IEEE TTL) 7(3), 1–15 (2014)

    Google Scholar 

  10. Liu, C., Chen, C., Han, J., Yu, P.S.: GPLAG: detection of software plagiarism by program dependence graph analysis. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 872–881. ACM (2006)

    Google Scholar 

  11. Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An evaluation framework for plagiarism detection. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 997–1005. Association for Computational Linguistics (2010)

    Google Scholar 

  12. Baneres, D., Saíz, J.: Intelligent tutoring system for learning digital systems on MOOC environments. In: The 10th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2016), pp. 95–102 (2016)

    Google Scholar 

  13. Baneres, D.: Principles for an effort-aware system. In: Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings of the 11th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC–2017), pp. 576–585 (2017)

    Google Scholar 

  14. Niu, X.M., Jiao, Y.H.: An overview of perceptual hashing. Acta Electronica Sinica 36(7), 1405–1411 (2008)

    Google Scholar 

  15. Baneres, D.: Towards an analytical framework to enhance teaching support in digital systems design course. In: The 9th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2015). pp. 148–155 (2015)

    Google Scholar 

Download references

Acknowledgments

This work is supported by H2020-ICT-2015 T project “An Adaptive Trust-based e-assessment System for Learning”, Number 688520.

Author information

Authors and Affiliations

  1. Open University of Catalonia, Barcelona, Spain

    David Bañeres, Ingrid Noguera, M. Elena Rodríguez & Ana Guerrero-Roldán

Authors
  1. David Bañeres
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ingrid Noguera
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Elena Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ana Guerrero-Roldán
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Bañeres .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Fukuoka-ken, Japan

    Leonard Barolli

  3. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Michal Greguš

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bañeres, D., Noguera, I., Elena Rodríguez, M., Guerrero-Roldán, A. (2019). Using an Intelligent Tutoring System with Plagiarism Detection to Enhance e-Assessment. In: Xhafa, F., Barolli, L., Greguš, M. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-98557-2_33

Download citation

Publish with us

Policies and ethics

Search

Navigation