Applying Semantic Agents to Message Communication in E-Learning Environment

Abstract

A traditional distance learning system requires supervisors or teachers always available on online to facilitate and monitor a learner’s progress by answering questions and guiding users. We presents an English chat room system in which students discuss course contents and ask questions to and receive from teachers and other students. The mechanism contains an agent that detects syntax errors in sentences written by the online the user and also checks the semantics of a sentence. The agent can thus offer recommendations to the user and, then, analyze the data of the learner corpus. When users query the system, this system will attempt to find the answers from the knowledge ontology that is stored in the records of previous user comments. With the availability of automatic supervisors, messages can be monitored and syntax or semantic mistakes can be corrected to resolve learner-related problems.