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Issue No. 04 - October-December (2011 vol. 4)
ISSN: 1939-1382
pp: 292-300
K. Bowen , Rosen Center for Adv. Comput., Purdue Univ., West Lafayette, IN, USA
H. Aagard , Rosen Center for Adv. Comput., Purdue Univ., West Lafayette, IN, USA
M. Cordova-Sanchez , Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Luo Si , Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
S. Cetintas , Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
ABSTRACT
Microblogging is a popular technology in social networking applications that lets users publish online short text messages (e.g., less than 200 characters) in real time via the web, SMS, instant messaging clients, etc. Microblogging can be an effective tool in the classroom and has lately gained notable interest from the education community. This paper proposes a novel application of text categorization for two types of microblogging questions asked in a classroom, namely relevant (i.e., questions that the teacher wants to address in the class) and irrelevant questions. Empirical results and analysis show that using personalization together with question text leads to better categorization accuracy than using question text alone. It is also beneficial to utilize the correlation between questions and available lecture materials as well as the correlation between questions asked in a lecture. Furthermore, empirical results also show that the elimination of stopwords leads to better correlation estimation between questions and leads to better categorization accuracy. On the other hand, incorporating students' votes on the questions does not improve categorization accuracy, although a similar feature has been shown to be effective in community question answering environments for assessing question quality.
INDEX TERMS
social networking (online), computer aided instruction, Internet, question quality assessment, microblogging-supported classroom, social networking applications, Web, SMS, online short text messages, instant messaging clients, education community, text categorization, microblogging questions, personalization, question text, correlation estimation, categorization accuracy, community question answering environments, Electronic publishing, Support vector machines, Social network services, Blogs, Text categorization, computer uses in education., Education
CITATION
K. Bowen, H. Aagard, M. Cordova-Sanchez, Luo Si, S. Cetintas, "Microblogging in a Classroom: Classifying Students' Relevant and Irrelevant Questions in a Microblogging-Supported Classroom", IEEE Transactions on Learning Technologies, vol. 4, no. , pp. 292-300, October-December 2011, doi:10.1109/TLT.2011.14
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