An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study

Author

Ching-Hua Chuan ; Dinsmore, Daniel ; Schmuller, Joseph ; Morris, Tyler

Author_Institution

Sch. of Comput., Univ. of North Florida, Jacksonville, FL, USA

fYear

2014

fDate

3-6 Dec. 2014

Firstpage

553

Lastpage

556

Abstract

This paper presents a pilot study on an intelligent tutoring system for domain-independent argument making. Students´ responses to an open-ended question were collected as the instances for supervised text classification based on the grade given by the instructor using structured outcome of the learning observation taxonomy. The responses were processed using Cohmetrix as well as n-gram models to generate attributes for the classification task. The best result of 81.74% in classification correct rate was obtained when all grade classes were used.

Keywords

further education; intelligent tutoring systems; pattern classification; text analysis; Cohmetrix model; classification correct rate; domain-independent argument making; higher education; intelligent tutoring system; n-gram model; supervised text classification; Abstracts; Connectors; Educational institutions; Equations; Mathematical model; Taxonomy; Text categorization; intelligent tutoring systems; arguments; Cohmetrix; text classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications (ICMLA), 2014 13th International Conference on

Conference_Location

Detroit, MI

Type

conf

DOI

10.1109/ICMLA.2014.112

Filename

7033175