Learning to Identify Students’ Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom
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
text catagorization, micro-blogging, relevant and irrelevant questions, question text
Date of this Version
2010
COinS
Comments
Intelligent Tutoring Systems Lecture Notes in Computer Science, 2010, Volume 6095/2010, 281-284,