An intelligent tutoring system for argument-making in higher education: A pilot study
Document Type
Conference Proceeding
Publication Date
2-5-2014
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.
Publication Title
Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014
First Page
553
Last Page
556
Digital Object Identifier (DOI)
10.1109/ICMLA.2014.112
ISBN
9781479974153
Citation Information
Ching-Hua Chuan, Dinsmore, D., Schmuller, J., & Morris, T. (2014). An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study. 2014 13th International Conference on Machine Learning and Applications, 553–556. https://doi.org/10.1109/ICMLA.2014.112