• DocumentCode
    123283
  • Title

    Supporting diagnostic reasoning by modeling help-seeking

  • Author

    Poitras, Eric ; Jarrell, Amanda ; Doleck, Tenzin ; Lajoie, Susanne

  • Author_Institution
    McGill Univ., Montreal, QC, Canada
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    10
  • Lastpage
    14
  • Abstract
    Help-seeking is considered an important metacognitive strategy. For learners to benefit from help-seeking, they need to be engaged in effective search behaviors. Maladaptive search behaviors can lead to negative learning outcomes; thus, if learners are cognizant of such behaviors, they can engage in effective help-seeking leading to achieve better learner outcomes. To foster effective help-seeking, we need to better understand the behaviors learners engage in when seeking help. In this study, we examined help-seeking behaviors of learners, in relation to what learners examined in an online library embedded within BioWorld. The library tool is a resource provides information about diseases, diagnostic tests and medical terms. This paper reports the model search behaviors pertaining to the medical topics searched in the library. The findings have implications for developing scaffolding prompts that can encourage effective search behaviors.
  • Keywords
    diseases; libraries; medical diagnostic computing; BioWorld; diagnostic reasoning; diagnostic tests; diseases; help-seeking modeling; library tool; maladaptive search behaviors; medical terms; medical topics searching; metacognitive strategy; model search behaviors; negative learning outcomes; online library; scaffolding prompts; Biomedical monitoring; Computers; Hospitals; Monitoring; Help-seeking; data mining; decision tree; prompts; search behavior; student modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926422
  • Filename
    6926422