Semantics driven interaction using natural language in students tutoring

Authors:
Roberto Pirrone;Giovanni Pilato;Riccardo Rizzo;Giuseppe Russo
Affiliations:
DINFO, University of Palermo, Palermo, Italy;ICAR, Italian National Research Council, Palermo, Italy;ICAR, Italian National Research Council, Palermo, Italy;DINFO, University of Palermo, Palermo, Italy
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Year:
2007

Citing 3
Cited 0

Java(TM) Language Specification, The (3rd Edition) (Java (Addison-Wesley))

Java(TM) Language Specification, The (3rd Edition) (Java (Addison-Wesley))
EpiList: An Intelligent Tutoring System Shell for Implicit Development of Generic Cognitive Skills That Support Bottom-Up Knowledge Construction

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue

IEEE Transactions on Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

The aim of this work is to introduce a semantic integration between an ontology and a chatbot in an Intelligent Tutoring Systems (ITS) to interact with students using natural language. The interaction process is driven by the use of a purposely defined ontology. In the ontology two types of conceptual relations are defined. Besides the usual relations, which are used to define the domain's structure, another type of relation is used to define the navigation schema inside the ontology according to the need of managing uncertainty. Uncertainty level is related to student knowledge level about the involved concepts. In this work we propose an ITS for the Java programming language called TutorJ. In our system a chatbot module manages the dialogue in a semantic way. It is capable to deal with the ontology, and also with a LSA-engine. Latent Semantic Analysis (LSA) technique is used to analyze the correctness of the student sentences to establish what concepts she knows. The whole system is explained and the attention is focused on the process for the creation of the correspondence between ontology concepts and student's answers.