Welcome to the OMNIBUS project: an ontology of learning, instruction and instructional design

Foreword

In their paper[Mizoguchi 2000], Jacquline Bourdeau and Riichiro Mizoguchi foresaw a framework for ontology-based intelligent systems as shown in Fig. 1. Although it took longer years than their expectation, the ontology they have been developing is now released for evaluation. Ontology building is a labor-intensive process and it is rarely perfect. Our enterprise is not an exception. The current ontology is still very preliminary because it has been completely reconstructed from the existing one with a few new ideas. So, we hope the readers be generous when they read the ontology.

The ontology presented here is not a light-weight ontology but a heavy-weight ontology. It is built based on philosophical consideration of all the concepts necessary for understanding learning, instruction and instructional design. Although it is full of axioms, the Hozo GUI which is based on a frame structure makes it easier to read it. However, the readers are expected to have basic knowledge of ontology such as the theory of role [Kozaki 02] and the Hozo way of role representation.

Papers [Hayashi 2006, Mizoguchi 2007] would be helpful to grasp what we are doing with this ontology. The prototype system built is a totally ontology-aware system which fully utilizes the merits of ontology computationally as well as conceptually. The prototype system is so preliminary that it can’t be open to public, though you can get a rough idea of what it is from the papers [Mizoguchi 2007, Hayashi 2007].

Download 

The ontology is available in Hozo format and OWL format. You can download the ontology from download page.

How to read this ontology 

  1. Introduction
    1. Scope: Objectives and non-Objectives
    2. Expected outcomes
    3. Current state and Future plans
  2. Conceptual model for instructional/learning design
    1. Modeling the interaction between learning and instruction
    2. Modeling the abstract structure of instructional/learning scenario 
    3. Modeling strategies suggested by instructional/learning theories
  3. Concept defined in the ontology
    1. The basic principle of conceptualization in Hozo ontology editor
    2. Ontological approach to systematization of educational theories 
    3. Main wholeness concepts
      1. State
      2. Action
      3. Educational event
    4. Relational concepts
      1. Pure relational concept
      2. WAY: prescriptive model derived from strategies defined in theories 

Publications 

  1. Mizoguchi, R. and Bourdeau, J.: Using Ontological Engineering to Overcome AI-ED Problems, International Journal of Artificial Intelligence in Education, Vol.11, No.2, pp.107-121, 2000. PDF
  2. Bourdeau, J. and Mizoguchi, R.: Collaborative ontological engineering of instructional design knowledge for an ITS authoring environment, Proc. of the 6th International Conference, ITS2002, Biarritz, France, June 2-7, pp.399-409, IOS Press, 2002. 
  3. Psyche, V., Bourdeau, J., Nkambou, R. and Mizoguchi, R.: Making Learning Design Standards Work with an Ontology of Educational Theories, Proc. of the 12th Artificial Intelligence in Education (AIED2005), pp. 539-546, Amsterdam, The Netherlands, July 18-22, 2005. PDF
  4. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: Standard-compliant Scenario Building with Theoretical Justification in a Theory-aware Authoring Tool, Proc. of The 13th International Conference on Artificial Intelligence in Education (AIED 2007), pp. 37-44, Marina del Rey, CA, USA, July. 9-13, 2007. PDF
  5. Mizoguchi, R., Hayashi, Y. and Bourdeau, J.: Inside Theory-Aware Authoring System, Proc. of The Fifth International Workshop on Ontologies and Semantic Web for E-Learning (SWEL’07) , pp. 1-18, Marina del Rey, CA, USA, July. 9, 2007. PDF
  6. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: Ontological Modeling Approach to Blending Theories for Instructional and Learning Design, Proc. of The 14th International Conference on Computers in Education (ICCE2006), pp. 37-44, Beijing, China, Nov.30-Dec. 4, 2006. PDF
  7. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: Ontological Support for a Theory-Eclectic Approach to Instructional and Learning Design, Proc. of First European Conference on Technology Enhanced Learning (EC-TEL2006), pp.155-169, Crete, Greece, Oct. 1-4, 2006. PDF
  8. Hayashi,Y., Bourdeau, J. and Mizoguchi, R.: Structurization of Learning/Instructional Design Knowledge for Theory-aware Authoring systems, Proc. of 9th International Conference of Intelligent Tutoring Systems (ITS'08), LNCS 5091, pp. 573-582, Montreal, Canada, June 23-27, 2008.
  9. Hayashi,Y., Bourdeau, J. and Mizoguchi, R.: "Toward Accumulation of Learning/Instructional Design Knowledge for Authoring Systems", Proc. of 16th International Conference of Computers in Education (ICCE'08), pp. 19-26, Taipei, Taiwan, Nov. 27-31, 2008.
  10. Villasclaras-Fernándeza, E.D., Isotani, S., Hayashi, Y., Mizoguchi, R.: "Looking into collaborative learning: design from macro- and micro-script perspectives", Proc. of 14th International Conference on Artificial Intelligence in Education (AIED2009), pp. 231-238, Brighton, UK, July 6-10, 2009.
  11. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: "Structuring Learning/Instructional Strategies through a State-based Modeling", Proc. of 14th International Conference on Artificial Intelligence in Education (AIED2009), pp. 215-222, Brighton, UK, July 6-10, 2009.
  12. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: Using Ontological Engineering to Organize Learning/Instructional Theories and Build a Theory-Aware Authoring System, International Journal of Artificial Intelligence in Education, Vol. 19, No. 2, pp. 211-252, 2009.
  13. Mizoguchi, R., Hayashi,Y., and Bourdeau, J.: Inside a Theory-aware Authoring System, Semantic Web Technologies for E-learning, IOS press, Amsterdam, The Netherlands, pp. 59-76, 2009.
  14. Hayashi, Y., Bourdeau, J. and Mizoguchi, R.: Strategy-centered Modeling for Better Understanding of Learning/Instructional Theories, International journal of Knowledge and web Intelligence, Vol. 1, No. 3/4, pp. 187-208, 2010.
  15. Mizoguchi, R., Hayashi,Y., and Bourdeau, J.: Ontology-Based Formal Modeling of the Pedagogical World: Tutor Modeling, Nkambou, R., Mizoguchi, R., and Bourdeau, J. (Eds.), Advances in Intelligent Tutoring Systems (Studies in Computational Intelligence 308), pp. 229-247, Springer-Verlag Berlin Heidelberg, 2010.
  16. Hayashi, Y., Kasai, T., and Mizoguchi, R.: Ontological Modeling for Reflective Instructional Design: A Case Study on Modeling a Lesson Plan, Proc. of 18th International Conference on Computers in Education (ICCE2010), pp. 25-32, Putrajaya, Malaysia, Nov. 29-Dec. 3, 2010.
  17. Hayashi, Y., Kasai, T., and Mizoguchi, R.: A Practical Study on Modeling Lesson Plans with an Ontological Engineering Approach, Proc. of 19th International Conference on Computers in Education (ICCE2011), pp. 101-105, Chiang Mai, Thailand, Nov. 28-Dec. 2, 2011.
  18. Hayashi, Y., Kasai, T., and Mizoguchi, R.: The Effect of Ontological Modeling of Lesson Design: A Case Study in a Community of Teachers, Workshop Proceedings: Supplementary Proc. of 19th International Conference on Computers in Education (ICCE2011), pp. 271-278, Chiang Mai, Thailand, Nov. 28-Dec. 2, 2011.
  19. Lee, J., Hayashi, Y., and Mizoguchi, R.: Effective Courseware Design and Analysis Using SMARTIES, The Journal of Information and Systems in Education, Vol. 11, No. 1, pp. 51-61, 2012.
  20. Hayashi, Y., and Mizoguchi, R.: The Effect of Ontological Modeling of Lesson Design: A Case Study in a Community of Teachers, Proc. of 20th International Conference on Computers in Education (ICCE2012), pp. 76-80, 2012.
  21. Hayashi, Y., and Mizoguchi, R.: Reusing Practical Teaching Strategies in a Community of Teachers – A Case study in a Community of Junior High School Teachers in Japan -, Proc. of 21st International Conference on Computers in Education (ICCE2013), pp. 173-175, 2013.
  22. Mizoguchi, R. and Bourdeau, J.: Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives, 26 (1), 91-106, 2016.

References

  1. Kozaki, K., Kitamura, Y., Ikeda, M., and Mizoguchi, R.: Hozo: An Environment for Building/Using Ontologies Based on a Fundamental Consideration of “Role” and “Relationship”, Proc. of the 13th International Conference Knowledge Engineering and Knowledge Management(EKAW2002), pp.213-218, Siguenza, Spain, October 1-4, 2002.