International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Automatic Feedback Framework for Deriving Educational Ontologies

Author NameAuthor Details

J.Stanley Jesudoss, S.Selva Kumar

J.Stanley Jesudoss[1]

S.Selva Kumar [2]

[1]Department of Computer Science, K.M.G College of arts and science, Gudiyattam,Vellore,Tamilnadu, India.

[2]Department of Computer Science, Thiruvalluvar University College of arts and science, Gajalnaickenpatti, Tirupattur, Tamilnadu, India.

Abstract

Automatic feedback generation is an important feature of Computer Assisted Assessment (CAA) systems. Feedback can help learners to diagnose their learning status and educational knowledge. The education ontology is created in the protégé tool. Questions are generated and the examinee’s is to provide the answers for the given questions. System will generate the adaptive feedback based on the user’s response. Learner’s answer will be assessed from the ontology. And then based on the examinee’s response the adaptive feedback is generated for right and wrong answers. Adaptive Feedback can be both human readable format and machine readable format. Users learning status can be identified from the adaptive feedback. Feedback can be generated from the metadata of items. Adaptive feedback can help learner’s knowledge level and examinees can improve their knowledge level.

Index Terms

The Taxonomy of education objectives

Architecture of concept map assessment tool

Different types of CAA

Class hierarchy

Artificial Intelligence

Reference

  1. 1.
    A review of computer-assisted assessment Gráinne Conole and Bill Warburton Vol. 13, No. 1, March 2005, pp. 17–31
  2. 2.
    E.Gouli,A.Gogoulou,K.A. Papanikolaou, and M. Grigoriadou, “Compass: An adaptive web-based concept map assessment tool,” in Proceedings of the First International Conference on Concept Mapping, Pamplona, Spain, 2004.
  3. 3.
    N. Sclater, E. Boyle, J. Bull, C. Church, P. Craven, R. Cross, M. Danson, L. Halliday, I. Howie, J. X. Kelly, S. Lay, M. Massey, M. McAlpine, D. McDonald, M. MacDonald, S. Rogers, and S. White, “Defining the infrastructure for a national item bank service,” in Proceedings of 9th CAA Conference, 2005.
  4. 4.
    M. Grigoriadou, K. Papanikolaou, H. Kornilakis, and G. Magoulas, “Inspire: An intelligent system for personalized instruction in a remote environment,” in Proceedings of Third workshop on Adaptive Hypertext and Hypermedia, Sonthofen, Germany, 2001, pp. 13–24.
  5. 5.
    D. Tsovaltzi, A. Fiedler, and H. Horacek, “A multi-dimensional taxonomy for automating hinting,” Intelligent Tutoring Systems, pp. 772–781, 2004.
  6. 6.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.6
  7. 7.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.6
  8. 8.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.6
  9. 9.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.7
  10. 10.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.8
  11. 11.
    “Ontological engineering” by Asuncion Gomez-Perez, Mariano Fernandez-Lopez and Oscar Corcho pp.no.8
  12. 12.
    What are Ontologies and Why Do We Need Them? B. Chandrasekaran and John R. Josephson, Ohio State University V. Richard Benjamins, University of Amsterdam
  13. 13.
    “Automatic Feedback and Resubmissions as Learning Aid” by Lauri Malmi and Ari Korhonen.
  14. 14.
    Bloom’s taxonomy Educational Objectives: The classification Educational goals hand book, by Bloom
  15. 15.
    S. Bechhofer, F. Harmelen, J. Hendler, I. Horrocks, D. McGuinness, and P. Patel-Schneider, “Owl web ontology language reference,” http://www.w3.org/TR/owl-ref/,2003.http://www.w3.org/TR/owl-ref/
  16. 16.
    J. Carneson, G. Delpierre, and K. Masters, “Designing and managing multiple choice questions: Appendix c: Mcq’s and bloom’s taxonomy,” http://www.uct.ac.za/projects/cbe/mcqman/mcqappc.html, accessed on Mar. 28, 2008.http://www.uct.ac.za/projects/cbe/mcqman/mcqappc.html
  17. 17.
    R. Lister, “Objectives and objective assessment in cs1,” vol. 33, no. 1, pp. 292–296., SIGCSE Bull 2001.
  18. 18.
    P. D. Bra, P. Brusilovsky, and C. Houben, “Adaptive hypermedia: from systems to framework,” ACM Comput. Surv, vol. 31, 1999.
  19. 19.
    P. S. Saini, M. Ronchetti, and D. Sona, “Automatic generation of metadata for learning objects,” in Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies, 2006, pp. 275–279.
  20. 20.
    E. Duval and W. Hodgins, “A lom research agenda,” in Twelfth international conference on World Wide Web, Budapest, Hungary, 2003.
  21. 21.
    D. Higgins, Y. Futagi, and P. Deane, “Multilingual generalization of the model creator software for math item generation,” ETS, Princeton, NJ., Tech. Rep., 2005. [Online]. Available: http://www.ets.org/research/researcher/RR-05-02.html
SCOPUS
SCImago Journal & Country Rank