Using Learning Analytics to Identify Medical Student Misconceptions in an Online Virtual Patient Environment

This study aimed to identify misconceptions in medical student knowledge by mining user interactions in the MedU online learning environment. Data from 13000 attempts at a single virtual patient case were extracted from the MedU MySQL database. A subgroup discovery method was applied to identify pat...

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Veröffentlicht in:	Journal of asynchronous learning networks JALN 2016-06, Vol.20 (2), p.183
Hauptverfasser:	Poitras, Eric G, Naismith, Laura M, Doleck, Tenzin, Lajoie, Susanne P
Format:	Artikel
Sprache:	eng
Schlagworte:	Electronic Learning Item Analysis Medical Education Medical Students Misconceptions Multiple Choice Tests Online Courses Patients Questioning Techniques Virtual Classrooms
Online-Zugang:	Volltext
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