Title
Educational Forums At A Glance: Topic Extraction And Selection
Abstract
Web 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 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. We surveyed the outcomes of our topic extraction and selection method with students, professors and university staff members. Results suggest the potential usability of the method and the potential applicability in real learning scenarios.
Year
DOI
Venue
2014
10.1007/978-3-319-11746-1_25
WEB INFORMATION SYSTEMS ENGINEERING, PT II
Field
DocType
Volume
Moderation,TUTOR,Data mining,World Wide Web,Semantic technology,Computer science,Usability,Knowledge creation,Online discussion,Database
Conference
8787
ISSN
Citations 
PageRank 
0302-9743
2
0.39
References 
Authors
15
5
Name
Order
Citations
PageRank
Bernardo Pereira Nunes118530.96
Ricardo Kawase21009.99
Besnik Fetahu314819.26
Marco A. Casanova41007979.09
Gilda Helena Bernardino De Campos5143.36