Work

Architecture for an Intelligent Tutoring System that Considers Learning Styles

Year: 2012

Type: article

Abstract: In this paper we propose the architecture of an Intelligent Tutoring System that considers the student's learning style and the competency-based education.We also describe the processes that have been implemented so far.Our architecture presents innovations in the representation of the tutor module and in the knowledge module; the tutor module incorporates a selector agent, which will choose the content to show, considering the teaching strategies that support the student's learning style.

Source: Research in Computing Science

DOI: 10.13053/rcs-47-1-4

Authors: María Lucila Morales-Rodríguez, José Apolinar Ramírez-Saldivar, Arturo Hernández-Ramírez, Julia Patricia Sánchez-Solís, José Antonio Martínez-Flores

Institution: Instituto Tecnológico de Ciudad Madero

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

OpenAlex ID: W2182891302

FWCI: 0.256

Cites: 17

Cited by: 6

Related to: 9