Using The Intelligent Agents for Planning The Learning Time in A Distance Learning System

Abstract

In this paper, Intelligent Agent (IA) and Pedagogical Graph (PG) are combined to plan a personalized timetable and regulate the disturbances produced on this calendar of learning. This work is done by three intelligent agents: Scheduler Agent (SA), Regulatory Agent (RA), and Decision Agent (DA). The function of SA is to calculate the period of each learning unit modeling in the pedagogical graph for each learner before starting his learning process. This operation takes into account the understanding speed, the rhythm, the periodic learning time, the expected time of learning units and the learning path regulations. The work of RA and DA is to adjust and take the decision to update timetable bearing in mind the impact of its perturbation and the chance given to the learner. The major benefit of this work is always to keep the time flexible in the e-learning while exercising a weak and indirect influence on the learner for optimal learning because the time sequence in learning has a favor impact in the acquisition.

The Combination between the Individual Factors and the Collective Experience for Ultimate Optimization Learning Path using Ant Colony Algorithm

“…V: represents the set of Learning Units LUi. LUi can represent a curriculum, a course, a chapter or evaluation created to achieve a pedagogical goal [13].…”