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Selected Works of Daniel Dinsmore
Presentation
An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study
13th International Conference on Machine Learning and Applications, (2014)
  • Ching-Hua Chuan, University of North Florida
  • Daniel Dinsmore, University of North Florida
  • Joseph Schmuller, University of North Florida
  • Tyler Morris, University of North Florida
Link
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
  • intelligent tutoring systems,
  • arguments,
  • Cohmetrix,
  • text classification
Disciplines
Publication Date
December 3, 2014
Location
Detroit, Michigan
DOI
10.1109/ICMLA.2014.112
Citation Information
Ching-Hua Chuan, Daniel Dinsmore, Joseph Schmuller and Tyler Morris. "An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study" 13th International Conference on Machine Learning and Applications, (2014)
Available at: http://works.bepress.com/daniel-dinsmore/28/