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OntoCIP - An Ontology of Comprehensive Integrative Puzzle Assessment Method Suitable for Automatic Question Generation

  • Maja Radovic
  • Milorad Tosic
  • Danijela Milosevic
  • Dragan Jankovic
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

Application of the Comprehensive Integrative Puzzle (CIP) assessment method is novel in medical education. Because of its high discriminatory quality, its application in medical education increases. However, creating a CIP question can be very labor intensive and time consuming while a team of experts is needed. On the other hand, Semantic web and ontologies have proven their usefulness in fine-grain knowledge management and reasoning. This paper describes a concrete development of ontology for Comprehensive Integrative Puzzle assessment method, called OntoCIP. This ontology supports automatic question generation that will reduce workload for teachers as well as engage domain experts while keeping feasibility, reliability, and validity of CIP assessment method. Conducted evaluation of OntoCIP shows that it is suitable for the purpose.

Keywords

Comprehensive Integrative Puzzle Medical education Ontology 

Notes

Acknowledgment

The research leading to these results was partially supported by the EU Horizon 2020 project under grant agreement no 687860, named SoftFIRE, and by the Serbian Ministry of Education, Science and Technological Development (project III41007).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Maja Radovic
    • 1
  • Milorad Tosic
    • 2
  • Danijela Milosevic
    • 1
  • Dragan Jankovic
    • 2
  1. 1.Faculty of Technical SciencesUniversity of KragujevacCacakSerbia
  2. 2.Faculty of Electronic EngineeringUniversity of NišNisSerbia

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