• DocumentCode
    3297673
  • Title

    Ontology Network Definition for Motivational Interviewing Learning Driven by Semantic Context-Awareness

  • Author

    Maran, Vinicius ; Palazzo Moreira de Oliveira, Jose ; Pietrobon, Ricardo ; Augustin, Iara

  • Author_Institution
    Inst. of Inf., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    264
  • Lastpage
    269
  • Abstract
    Context-awareness proposes that computer systems should use the information from the environment to adapt their execution and content to benefit the user. With the recent adoption of Massive Open Online Courses by educational institutions, the use of context information can be a determining factor in course retention and learning effectiveness. In this study, we modeled an ontology network for the adaptation and suggestion of materials to students based on context information, using a health course in the area of Motivational Interviewing taught in OpenEDX platform. Through a validation of this ontology network in a case study, it was found that the ontology network offered the possibility of recommending materials based on context information. The recommendations were made through the inference based on a set of rules defined in the ontology network.
  • Keywords
    biomedical education; learning (artificial intelligence); ontologies (artificial intelligence); semantic networks; telemedicine; OpenEDX platform; computer systems; context information; educational institutions; health course; learning effectiveness; massive open online courses; motivational interviewing learning; ontology network definition; semantic context-awareness; Context; Context modeling; Databases; Education; Medical services; Ontologies; Semantics; MOOC; context-awareness; motivational interviewing; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
  • Conference_Location
    Sao Carlos
  • Type

    conf

  • DOI
    10.1109/CBMS.2015.22
  • Filename
    7167498