A Study on Enhancement of Learning Outcomes through Building of Learning Ontologies

학습 온톨로지 생성을 통한 학습 성과 강화에 관한 연구

  • Published : 2008.06.30


Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.


  1. Richard M. Felder,Linda K. Silverman(1988). Learning and Teaching Styles in Engineering Education, Journal of Engineering Education, 78(7), 674-681
  2. Mizoguchi R., Bourdeau, J.(2000). Using Ontological Engineering to Overcome AI-ED Problems, International Journal of Artificial Intelligence in Education, 11(2), 107-121
  3. Marco R., Joseph S.(2007). Curriculum Management and Review - an ontology-based solution, Technical Report # DIT-07-021, University of Trento
  4. Sampson, D. G., Lytra, M. D., Wagner, G., Diaz, P.(2004). Guest Editorial: Ontologies and the Semantic Web for E-learning, Educational Technology and Society, 7(4), 26-28
  5. Apple W. P. F., Horace H. S. I.(2007). Educational Ontologies Construction for Personalized Learning on the Web, Studies in Computation Intelligence 62, 47-82 https://doi.org/10.1007/978-3-540-71974-8_4
  6. Noy, N. F. & McGuinness, D. L.(2001)., Ontology development 101: a guide to creating your first ontology, Stanford Knowledge Systems Laboratory Technical Report KSL-01-05
  7. Steve Pepper and Graham Moore.(2001). XML Topic Maps(XTM) 1.0, TopicMaps.Org
  8. Shackelford, R., McGettrick, A., Sloan, R., Topi, H., Davies, G., Kamali, R., Cross, J., Impagliazzo, J., LeBlanc, R., Lunt, B.(2006). Computing Curricula 2005: The Overview Report, ACM SIGCSE Bulletin, 38(1) https://doi.org/10.1145/1138403.1138439
  9. Mizoguchi, R.(2004). Tutorial on ontological engineering- Part2: Ontology development, tools and languages, New Generation Computing, OhmSha&Springer, 22(1)
  10. Nilsson, M., Palmer, M., Brase, J.(2003) The LOM RDF binding - principles and implementation, In Proceedings of The 3rd Annual ARIDNE Conference, Lueven, Belgium
  11. Shvaiko, P. and Euzenat, J.(2004). A Survey of Schema-based Matching Approaches, Technical Report DIT-04-087, University of Trento, Italy
  12. 나승일(2004). 대학에서의 효과적인 교수법 가이드, 서울대학교출판부
  13. J.M.Kim, H.P.Shin, and H.J.Kim(2007). Schema and constraints-based matching and merging of topic maps, Information Processing and Management, 43(4), 930-945 https://doi.org/10.1016/j.ipm.2006.08.012
  14. D. L. McGuinness and F. Harmelen(2003). OWL Web Ontology Language Overview, W3C Recommendation, 10 February, http://www.w3. org/TR/owl-features/