Intelligent Tutoring Systems: Notes for a Development Methodology

Abstract

Implementing a chatbot-based Intelligent Tutoring System (ITS) for Moodle requires a multidisciplinary approach that combines pedagogy, knowledge engineering, and technological development.

This article presents, in its first part, a detailed methodology for developing an Intelligent Tutoring System integrated into Moodle, designed to be adaptable to any subject. The system, structured in the classic student, tutor, and domain modules, uses a chatbot as its main interaction interface. The methodology is divided into seven phases, from initial analysis to continuous improvement, with special emphasis on building a semantic knowledge base through the intensive use of metadata and on technical integration with the Moodle platform.

The second part of this work, "Essential Components of an Intelligent Tutoring System: Design, Metadata, and Conversational Engine," aims to provide developers and researchers with a clear and practical roadmap for building intelligent tutors that offer personalized and scalable support.

Keywords

Artificial Inteligent, Inteligent tutorial, Chatbot, Methodology

Author Biography

Jorge E. Gil Mateos

CEPES

References

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