DocumentCode :
240701
Title :
A Topic Extraction Process for Online Forums
Author :
Pereira Nunes, Bernardo ; Mera, Alexander ; Kawase, Ricardo ; Fetahu, Besnik ; Casanova, Marco A. ; de Campos, Gilda Helena B.
Author_Institution :
Dept. of Inf., PUC-Rio, Rio de Janeiro, Brazil
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
541
Lastpage :
543
Abstract :
Forums play a key role in the process of knowledge creation, providing means for users to exchange ideas and to collaborate. However, educational forums, along several others online educational environments, often suffer from topic disruption. Since the contents are mainly produced by participants (in our case learners), one or a few individuals might change the course of the discussions. Thus, realigning the discussed topics of a forum thread is a task often conducted by a tutor or moderator. In order to support learners and tutors to harmonically align forum discussions that are pertinent to a given lecture or course, in this paper, we present a method that combines semantic technologies and a statistical method to find and expose relevant topics to be discussed in online discussion forums.
Keywords :
Internet; computer aided instruction; groupware; statistical analysis; collaboration; educational forums; ideas exchange; knowledge creation process; online discussion forums; online educational environments; semantic technologies; statistical method; topic disruption; topic extraction process; Discussion forums; Educational institutions; Informatics; Instruction sets; Message systems; Semantics; Discussion forum; Forum assessment; Topic coverage; Topic extraction; Topic recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/ICALT.2014.158
Filename :
6901534
Link To Document :
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