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Authors: Francesco Colace ; Massimo De Santo and Mario Vento

Affiliation: DIIIE-Università degli Studi di Salerno, Italy

Keyword(s): E-Learning, Assessment, Bayesian Networks, Metadata.

Related Ontology Subjects/Areas/Topics: Applications ; e-Business ; Education/Learning ; e-Learning ; Enterprise Information Systems ; Human-Computer Interaction ; Knowledge Management and Information Sharing ; Knowledge-Based Systems

Abstract: In this paper we introduce a tutoring approach for E-Learning formative process. This approach is strictly related to the assessment phase. Assessment in the context of education is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Otherwise finding an appropriate assessment tool is a central challenge in designing a tutoring approach. In this paper we propose an assessment method based on the use of ontologies and their representation through a Bayesian Networks. The aim of our approach is the generation of adapted questionnaires in order to test the student’s knowledge in every phase of learning process. Analyzing the results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning paths.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Colace, F.; De Santo, M. and Vento, M. (2006). INTELLIGENT TUTORING SYSTEM: AN ASSESSMENT STRATEGY FOR TUTORING ON-LINE. In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-972-8865-45-0; ISSN 2184-4992, SciTePress, pages 157-160. DOI: 10.5220/0002457001570160

@conference{iceis06,
author={Francesco Colace. and Massimo {De Santo}. and Mario Vento.},
title={INTELLIGENT TUTORING SYSTEM: AN ASSESSMENT STRATEGY FOR TUTORING ON-LINE},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2006},
pages={157-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002457001570160},
isbn={978-972-8865-45-0},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - INTELLIGENT TUTORING SYSTEM: AN ASSESSMENT STRATEGY FOR TUTORING ON-LINE
SN - 978-972-8865-45-0
IS - 2184-4992
AU - Colace, F.
AU - De Santo, M.
AU - Vento, M.
PY - 2006
SP - 157
EP - 160
DO - 10.5220/0002457001570160
PB - SciTePress