EconPapers    
Economics at your fingertips  
 

Learning to Identify Students’ Relevant and IrrelevantQuestions in a Micro-blogging Supported Classroom

Suleyman Cetintas (), Luo Si (), Sugato Chakravarty (), Hans Aagard () and Kyle Bowen ()
Additional contact information
Suleyman Cetintas: Purdue University
Luo Si: Purdue University
Hans Aagard: Purdue University
Kyle Bowen: Purdue University

No 1010, Working Papers from Purdue University, Department of Consumer Sciences

Abstract: This paper proposes a novel application of text categorization for two types questions asked in a micro-blogging supported classroom, namely relevant and irrelevant questions. Empirical results and analysis show that utilizing the correlation between questions and available lecture materials in a lecture along with personalization and question text leads to significantly higher categorization accuracy than i) using personalization along with question text and ii) using question text alone.

Keywords: student in-class interaction; micro-blogging; hotseat (search for similar items in EconPapers)
JEL-codes: G21 D82 O16 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mst and nep-sea
Date: 2011-02
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Published in Lecture Notes in Computer Science, v.6095/2010

Downloads: (external link)
ftp://128.210.123.107/csr/wpaper/Hotseat_Research.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:csr:wpaper:1010

Access Statistics for this paper

More papers in Working Papers from Purdue University, Department of Consumer Sciences
Contact information at EDIRC.
Series data maintained by Sugato Chakravarty ().

 
Page updated 2014-11-20
Handle: RePEc:csr:wpaper:1010