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
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