An intelligent tutoring system for argument-making in higher education: A pilot study

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014
EditorsCesar Ferri, Guangzhi Qu, Xue-wen Chen, M. Arif Wani, Plamen Angelov, Jian-Huang Lai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages553-556
Number of pages4
ISBN (Electronic)9781479974153
DOIs
StatePublished - Feb 5 2014
Externally publishedYes
Event2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 - Detroit, United States
Duration: Dec 3 2014Dec 6 2014

Other

Other2014 13th International Conference on Machine Learning and Applications, ICMLA 2014
CountryUnited States
CityDetroit
Period12/3/1412/6/14

Keywords

  • intelligent tutoring systems; arguments; Cohmetrix; text classification

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction

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    Chuan, C-H., Dinsmore, D., Schmuller, J., & Morris, T. (2014). An intelligent tutoring system for argument-making in higher education: A pilot study. In C. Ferri, G. Qu, X. Chen, M. A. Wani, P. Angelov, & J-H. Lai (Eds.), Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 (pp. 553-556). [7033175] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLA.2014.112