Automatic misconception diagnosis in multiple language learning over social networks

This paper describes the misconception diagnosis mechanism incorporated in a multilingual learning Facebook application. In order to achieve misconception diagnosis, the authors of this paper have incorporated machine learning techniques in the aforementioned Facebook application. The confusion of F...

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Bibliographic Details
Main Authors: Troussas, Christos, Virvou, Maria, Vougiouklidou, Anna, Junshean Espinosa, Kurt
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
Collaboration
collaborative learning
Communities
Compounds
Facebook
misconception diagnosis
multiple language learning
Servers
user clustering
Online Access:Request full text
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Summary:This paper describes the misconception diagnosis mechanism incorporated in a multilingual learning Facebook application. In order to achieve misconception diagnosis, the authors of this paper have incorporated machine learning techniques in the aforementioned Facebook application. The confusion of Facebook users between multiple language learning is extensively examined. Misconception handling within the application renders the users capable of being aware of their misconceptions and prevents them from re-conducting them. Furthermore, the collaboration between users in language confusion conditions is ameliorated by the user clustering through the Facebook platform.
DOI:10.1109/IISA.2013.6623715