Abstract
Most of e-learning and m-learning systems are course-centric. These systems provided services that concentrated on course material and pedagogical. They did not take into account varieties of student levels, skills, interests or preferences. This paper provides a design of an approach for personalized and self-adapted agent-based learning systems for enhancing e-learning and mobile learning (m-learning) services to be learner-centric. It presents a modeling of goals of different learners of a corporate training in computer courses in an educational institute. It figures how to customize and personalize learning paths (course syllabus) for e-learning and m-learning platforms. The delivering of e-courses become personalized learner-centric, which improves learning outcome, satisfaction of learners and enhances education.
Highlights
E-learning is nowadays recognized as one of the efficient methods to respond to the requirements of open and distance learning
Nordin proposed in [22] a conceptual framework for mobile learning applications that provides systematic support for mobile lifelong learning experience design
Domain Agent (Dagent) receives a learning path from Learning Agent (Lagent) and locates topics specified in the individual syllabus in the server of the educational institute
Summary
E-learning is nowadays recognized as one of the efficient methods to respond to the requirements of open and distance learning. Intelligent agents are task-oriented software components that have the ability to act intelligently They may contain more knowledge about the needs, preferences and pattern of the behaviors of a person or a process as in [3]. The personal agent can discover users' personal interests voluntarily without bothering the users It is very suitable for personalized e-learning by voluntarily recommending learning materials [4]. Intelligent agents should have the ability of adaptive reasoning They must have the capability to access information from other sources or agents and perform actions leading to the completion of some task. They must control over their internal state and behavior and work together to perform useful and complex tasks.
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