PREDISPOSITION-BASED INTELLIGENT TUTORING SYSTEM - Adaptive User Profiling in Human-Computer Interaction
Andrzej Niesler, Gracja Wydmuch
2008
Abstract
The aim of the article is to present the conception of the new approach to human-computer interaction in intelligent tutoring systems. Teaching supported by technology is one of the most important issues these days. The crucial problem is how to learn effectively and how to substitute the student-tutor contact. However, traditional education also does not provide individual, predisposition-oriented teaching programs. Many of the people all over the world choose electronic way of studying. Therefore, it is crucial to evolve methodology of user-adapted solutions. In this paper we present the learning predisposition-based tutoring in intelligent instruction system, with individual user profiling, based on psychological conditions.
References
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Paper Citation
in Harvard Style
Niesler A. and Wydmuch G. (2008). PREDISPOSITION-BASED INTELLIGENT TUTORING SYSTEM - Adaptive User Profiling in Human-Computer Interaction . In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-26-5, pages 435-440. DOI: 10.5220/0001532504350440
in Bibtex Style
@conference{webist08,
author={Andrzej Niesler and Gracja Wydmuch},
title={PREDISPOSITION-BASED INTELLIGENT TUTORING SYSTEM - Adaptive User Profiling in Human-Computer Interaction},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={435-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001532504350440},
isbn={978-989-8111-26-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - PREDISPOSITION-BASED INTELLIGENT TUTORING SYSTEM - Adaptive User Profiling in Human-Computer Interaction
SN - 978-989-8111-26-5
AU - Niesler A.
AU - Wydmuch G.
PY - 2008
SP - 435
EP - 440
DO - 10.5220/0001532504350440