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

Authors

Suleyman Cetintas
Luo Si, Purdue UniversityFollow
Sugato Chakravarty
Hans AagardFollow
Kyle Bowen

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

Comments

Intelligent Tutoring Systems Lecture Notes in Computer Science, 2010, Volume 6095/2010, 281-284,