Knowledge-Based Authoring Tool for Tutoring Multiple Languages

  • Maria Virvou
  • Christos Troussas
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 11)


This paper describes the development of a knowledge-based authoring tool, which aims to be useful to teachers and students in multiple language learning. The tool provides assistance on the editing of exercises and also on the creating, updating or erasing a student’s profile by the teacher. The system monitors the students while they are answering the exercises and provides appropriate feedback. One of the system’s basic functions in to create a student model, which promotes the educational process. The tool incorporates an error diagnosis component, which handles the students’ errors in the three languages. Multilingual support in Computer Assisted Language Learning (CALL) is a significant innovation in the related scientific literature.


Knowledge-based authoring tool Intelligent Tutoring Systems Student Modeling Error Diagnosis Multiple Language Learning 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Murray, T.: An overview of intelligent tutoring system authoring tools: Updated analysis of the state of the art. In: Authoring Tools for Adv. Tech. Learning Env, Ainsworth and Blessing, pp. 493–546. Kluwer Academic Publishers, The Netherlands (2003)Google Scholar
  2. 2.
    Choksey, S.D.: Developing An Affordable Authoring Tool For Intelligent Tutoring Systems. MS Thesis, USA (2004)Google Scholar
  3. 3.
    Chakraborty, S., Roy, D., Bhowmick, P.K.: An Authoring System for Developing Intelligent Tutoring System. In: TechSym 2010 - Proceedings of the 2010 IEEE Students’ Technology Symposium, pp. 196–205 (2010)Google Scholar
  4. 4.
    Virvou, M., Alepis, E.: Mobile educational features in authoring tools for personalised tutoring. Computers and Education, 53–68 (2005)Google Scholar
  5. 5.
    Ramachandran, S., Remolina, E., Fu, D.: FlexiTrainer: A visual authoring framework for case-Based intelligent tutoring systems. In: Intelligent Tutoring Systems, Maceio, Brazil, pp. 848–850 (2004)Google Scholar
  6. 6.
    Kodaganallur, V., Weitz, R., Rosenthal, D.: VersaTutor – An architecture for a constraint-based intelligent tutor generator. In: Proceedings of the Thirteenth Annual World Wide Web Conference, USA, pp. 474–475 (2004)Google Scholar
  7. 7.
    Virvou, M., Moundridou, M.: A Web-Based Authoring Tool for Algebra-Related Intelligent Tutoring Systems. In: EducationalTechnology & Society, pp. 61–70 (2000)Google Scholar
  8. 8.
    Murray, T.: Authoring Knowledge Based Tutors: Tools for Content, Instructional Strategy, Student Model, and Interface Design. International Journal of Artificial Intelligence in Education, 98–129 (2000)Google Scholar
  9. 9.
    Torrente, J., Moreno-Ger, P., Fernández-Manjón, B., Sierra, J.-L.: Instructor-oriented Authoring Tools for Educational Videogames. In: Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies ICALT, Spain, pp. 516–518 (2008)Google Scholar
  10. 10.
    Aleven, V., Sewall, J., McLaren, B., Koedinger, K.: Rapid Authoring of Intelligent Tutors for Real-World and Experimental Use. In: Sixth IEEE International Conference on Advanced Learning Technologies (ICALT 2006), The Netherlands, pp. 847–851 (2006)Google Scholar
  11. 11.
    Sauer, S., Osswald, K., Wielemans, X., Stifter, M.: U-Create: Creative Authoring Tools for Edutainment Applications. In: Göbel, S., Malkewitz, R., Iurgel, I. (eds.) TIDSE 2006. LNCS, vol. 4326, pp. 163–168. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Jokela, T.: Authoring tools for mobile multimedia content. In: International Conference on Multimedia and Expo., vol. 2, pp. 637–640. IEEE, Los Alamitos (2003)Google Scholar
  13. 13.
    Spierling, U., Weiß, S.A., Müller, W.: Towards Accessible Authoring Tools for Interactive Storytelling. In: Göbel, S., Malkewitz, R., Iurgel, I. (eds.) TIDSE 2006. LNCS, vol. 4326, pp. 169–180. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  14. 14.
    Lajoie, S.P., Faremo, S., Wiseman, J.: A knowledge-based approach to designing authoring tools: From tutor to author. In: Moore, J.D., Redfield, C., Johnson, L.W. (eds.) Artificial intelligence in education: AI-ED in the wired and wireless future, pp. 77–86 (2001)Google Scholar
  15. 15.
    European Union,
  16. 16.
    Chapelle, C.: Multimedia CALL: Lessons to be learned from research on instructed SLA. Language Learning and Technology 2, 21–39 (1998)Google Scholar
  17. 17.
    Cook, R., Kay, J.: The Justified User Model: A Viewable, Explained User Model. In: Proceedings of the Fourth International Conference on User Modelling, pp. 145–150 (1994)Google Scholar
  18. 18.
    Virvou, M., Maras, D., Tsiriga, V.: Student modeling in an intelligent tutoring system for the passive voice of English language. Educational Technology and Society 3(4), 139–150 (2000)Google Scholar
  19. 19.
    Rodriguez, M.C.: Three options are optimal for multiple-choice items: A meta-analysis of 80 years of research. In: Educational Measurement: Issues and Practice, pp. 3–13 (2005)Google Scholar
  20. 20.
    Hollnagel, E.: The Phenotype of Erroneous Actions. International Journal of Man-Machine Studies 39, 1–32 (1993)CrossRefGoogle Scholar
  21. 21.
    Chou, C.–Y., Chan, T.–W., Lin, C.-J.: Redefining the learning companion: the past, present, and future of educational agents. Computers & Education 40, 255–269 (2003)CrossRefGoogle Scholar
  22. 22.
    Specht, M., Oppermann, R.: ATS-Adaptive Teaching System a WWW-based ITS. In: Timm, U. (ed.) Proceedings of Workshop Adaptivität und Benutzermodellierung in Interaktiven Software System (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Maria Virvou
    • 1
  • Christos Troussas
    • 1
  1. 1.Department of InformaticsUniversity of PiraeusPiraeusGreece

Personalised recommendations