e-Learning in Maintenance Management Training and Competence Assessment: Development and Demonstration

  • Nikos Papathanassiou
  • Christos Emmanouilidis


Recent advances in industrial production and manufacturing processes as well as the rapidly increasing global competition are key drivers in a growing demand for improving personnel competences in maintenance management. Most employees in the manufacturing sector are beyond the typical age of standard education, thus traditional teaching methods are not sufficient. Vocational Education and Training should be targeted to serve the specific needs for enhancing employable skills and competences. Time and place constraints, which are often a significant concern for professional training, can be mitigated by e-training. This paper presents an overview of the e-learning toolkit employed in the iLearn2Main project, a focused EU collaborative project targeting Maintenance Management Training. The learning toolkit offers customized maintenance management training, while facilitating the standardisation of competencies assessment and learning evaluation. It is based on the Moodle Learning Management System platform and comprises a series of courses on maintenance management, structured in a complete Maintenance Management curriculum, specified by taking into account stakeholder needs. Each course is delivered in short and easily completed sessions, which are followed by comprehension questions, aiming at maximizing learner engagement and understanding. A full set of assessment questions certifies that learners acquire the required knowledge and provides an immediate, reliable and automated way of trainee performance evaluation. The learning toolkit is adequately customised to offer not only interactive training but to seek to steer the learners through individual learning paths, thus offering a more engaging and efficient learning process.


Augmented Reality Learn Management System Comprehension Question Competence Assessment Maintenance Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Franlund, J. (2008) Some European Initiatives in Requirements of Competence in Maintenance. In Proc. of CM-MFPT 2008, 5th Int. Conf. on Condition Monitoring & Machinery Failure Prevention Technologies. Edinburgh, UK.Google Scholar
  2. 2.
    Bakouros, Y. and S. Panagiotidou. (2008) An analysis of maintenance education and training needs in European SMEs and an IT platform enriching maintenance curricula with industrial expertise. In Proc. of CM-MFPT 2008, 5th Int. Conf. on Condition Monitoring & Machinery Failure Prevention Technologies. Edinburgh, UK.Google Scholar
  3. 3.
    Emmanouilidis, C., N. Papathanassiou, and A. Papakonstantinou. (2008) Current trends in e-training and prospects for maintenance vocational training. In Proc. of CM-MFPT 2008, 5th Int. Conf. on Condition Monitoring & Machinery Failure Prevention Technologies. Edinburgh, UK.Google Scholar
  4. 4.
    Haritos, T. and D. Macchiarella. (2005) A mobile application of augmented reality for aerospace maintenance training. In The 24th Digital Avionics Systems Conference, 2005. Washington, DC: IEEE.Google Scholar
  5. 5.
    Christian, J., et al., (2007) Virtual and Mixed Reality Interface for e-Training: Examples of Applications in Light Aircraft Maintenance, in 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 Held as Part of HCI International 2007, Part III. Springer Berlin /Heidelberg: Beijing, China. 520-529.Google Scholar
  6. 6.
    Schwald, B. and B. Laval, (2003) An Augmented Reality System for Training and Assistance to Maintenance in the Industrial Context. Journal of WSCG, Plzen, Czech Republic, 11(1).Google Scholar
  7. 7.
    Nakajima, C. and N. Itho. (2003) A Support System for Maintenance Training by Augmented Reality. In Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP’03). Mantova, Italy: IEEE.Google Scholar
  8. 8.
    Woolf, B.P., (2009) Building Intelligent Interactive Tutors. Morgan Kauffman.Google Scholar
  9. 9.
    Jones, N. and J. O'Shea, (2004) Challenging hierarchies: The impact of e-learning. Higher Education, 48(3), 379-395.CrossRefGoogle Scholar
  10. 10.
    Huddlestone, J. and J. Pike, (2007) Seven key decision factors for selecting e-learning. Cognition, Technology & Work, 10(3), 237-247.CrossRefGoogle Scholar
  11. 11.
    Dolog, P., et al. (2004) Personalisation in distributed e-learning environments. In Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters (WWW2004). New York, USA: Association for Computing Machinery (ACM).Google Scholar
  12. 12.
    Popescu, E., P. Trigano, and C. Badica, (2007) Adaptive Educational Hypermedia Systems: A Focus on Learning Styles, in EUROCON, 2007. The International Conference on Computer as a Tool, IEEE: Warsaw, Poland. 2473-2478.Google Scholar
  13. 13.
    Dolog, P. and M. Schaefer. (2005) A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles in In Proc. of UM2005 - 10th International Conference on User Modeling. Edinburgh, UK: Springer Berlin / Heidelberg.Google Scholar
  14. 14.
    Cole, J.R., (2008) Using Moodle. 2nd ed. Farnham: O'Reilly. xiii, 266.Google Scholar
  15. 15.
    Rice, W.H., (2006) Moodle e-learning course development : a complete guide to successful learning using Moodle. Packt Pub.: Birmingham, U.K. p. ix, 236.Google Scholar
  16. 16.
    Kazi, S.A. (2004) A Conceptual Framework for Web-based Intelligent Learning Environments using SCORM-2004. In Proceedings of the IEEE International Conference on Advanced Learning Technologies. Joensuu, Finland: IEEE.Google Scholar
  17. 17.
    Dodds, P. and S.E. Thropp, eds. (2006) SCORM® 2004 3rd Edition Content Aggregation Model (CAM) Version 1.0. ADL.Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Nikos Papathanassiou
    • 1
  • Christos Emmanouilidis
    • 1
  1. 1.CETI/ATHENA Research & Innovation CentreAthensGreece

Personalised recommendations