Learning agent based knowledge management in Intelligent Tutoring System

Abstract

An Intelligent Tutoring System is helpful for the users who want to undertake a learning process. This paper presents an intelligent tutoring system based on learning agent and knowledge agents to improve the learning and teaching process of the tutoring session. The agents involved are knowledge acquirement agent, knowledge sharing agent, knowledge maintenance agent and learning agent. The knowledge acquirement agent is responsible for the construction of the student model and the domain knowledge base. The knowledge sharing agent is responsible for producing personalized teaching web pages to students dynamically. The knowledge maintenance agent is responsible for the maintenance of domain knowledge database and student profile database. The learning agent is used to obtain feedback from the students based on the learning process. The prioritization of the domains is performed depending on the feedback obtained from the students to improvise the tutoring system. This paper aims to provide the faster retrieval of information from the database and the effective teaching learning process to the users. The effectiveness is possible by the frequent updation of the domain knowledge to the prioritized domains.

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

“…• A study of relevant research papers about intelligent tutoring systems to discover any synthesis in the composition of graphical intelligent tutoring systems [10], [39], [40], [41], [42], [43], [44]. • A study of relevant research papers and literature reviews relating to graphical programming for programming [27], [45], [30].…”

Plataforma Hardware-Software para la asistencia de los espacios de trabajo en la enseñanza de Ingeniería Electrónica (A hardware-software platform to assist learning workspaces in electronic engineering)

“…Estos agentes ejecutan una tarea dada utilizando información recolectada del ambiente (por medio de sensores o información proporcionada por el usuario), para actuar apropiadamente hasta completar la tarea de manera exitosa. La capacidad de gestionar los contenidos usando agentes inteligentes posibilita el aprendizaje personalizado, pero se requieren algunos aspectos esenciales para su concepción [9][10] [11].…”