ACO-driven Personalized E-learning with Perspectives and Learning Aims

A proposal scheme to personalize students’ learning based on her learning aim in an e-learning environment. The system acknowledges a distinct set of students' aims that prioritize various Learning Objects (LOs) such as theory, case studies etc. according to student's Learning Aim (LA). We also propose a new way to model the course as a directed acyclic graph in which nodes at each level represent a collection of different perspectives for the same concept. All concept perspectives encapsulate a set of LOs. This allows students to strengthen their learning along both dimensions; depth of coverage as well as perspective breadth by suitably adding to her repertoire of multiple viewpoints contributed by different authors on the same concept. This paper illustrates an Ant Colony Optimization (ACO) based personalized e-learning scheme to generate an initially optimized path taking into account the priorities of learning objects and the contribution of concept perspectives for different learning aims.