Abstract:
This article aims to present two intelligent agents, APL planner agent and ARL regulatory agent, enabling distance learners to plan and dynamically regulate their persona...Show MoreMetadata
Abstract:
This article aims to present two intelligent agents, APL planner agent and ARL regulatory agent, enabling distance learners to plan and dynamically regulate their personalized learning time .The planning considers the speed of learner's understanding, the teaching units expected time of learning, the constraint learning path, the pace and the periodic learning time of the learner, while the regulation takes into account the timetable's perturbations during the learning process. To achieve our goal we have based our work on modeling diagrams, pedagogical graph and the learner's properties. In this paper we focus on the work modeling of APL and ARL, while remaining to validate in a more elaborate version.
Published in: 2015 International Conference on Information Technology Based Higher Education and Training (ITHET)
Date of Conference: 11-13 June 2015
Date Added to IEEE Xplore: 24 August 2015
ISBN Information: