Over the past few years, educational technology administrators have focused on the development of learning management systems that provide m-learning support in web-based education. However, these learning management systems have a number of common deficiencies such as personalization of course, providing educators clear objective information about students’ performance and manual task selection.

In this research, we have presented a multi-agent system to address these pedagogical challenges We have found that intelligent agents can be used to automate the tasks performed by users, to provide assistance to users (teachers and students alike), to evaluate students’ progress and to personalize the course for students.

Keywords: Agents, m-learning, distance education, learning management systems, intelligent tutoring systems.