AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSES USING TAGHELPER

Ismael Pascual-Nieto, Diana Perez-Marin

2010

Abstract

TagHelper is a verbal data analysis application. It is based on the use of the Weka toolkit. It is able to classify sentences as one of a set of categories previously introduced into the system. TagHelper has been used to support data analysis in English, German, and Chinese. TagHelper has been recently extended to support Spanish too. The Will Tools are a set of web-based learning tools able to automatically assess students’ free-text answers written in Spanish or in English. In this paper, we describe a new procedure to generate a conceptual assessment course in the format required by the Will Tools automatically from web data using TagHelper in Spanish. The procedure has been successfully implemented, and two different courses have already been generated.

References

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Paper Citation


in Harvard Style

Pascual-Nieto I. and Perez-Marin D. (2010). AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSES USING TAGHELPER . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 335-338. DOI: 10.5220/0002764203350338


in Bibtex Style

@conference{webist10,
author={Ismael Pascual-Nieto and Diana Perez-Marin},
title={AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSES USING TAGHELPER},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={335-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002764203350338},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSES USING TAGHELPER
SN - 978-989-674-025-2
AU - Pascual-Nieto I.
AU - Perez-Marin D.
PY - 2010
SP - 335
EP - 338
DO - 10.5220/0002764203350338