Personalized course generation based on layered recommendation systems

Abstract

Personalized learning aims at providing services that fit the needs, goals, capabilities and interests of the learners. Recommender systems have recently begun to investigate into helping teachers to improve e-learning. In this paper, we propose a personalized course generation system based on a layered recommender system. The aim of this system is to recommend personalized leaning content for online learners based on the personal characteristics of learners, such as the prior knowledge level, learning abilities and learning goals. The recommender algorithm generates a knowledge domain and learning objects in three layers. The generated courses consider both the teaching plan of teachers and the learners' personal characteristics of the knowledge. © 2014 Springer International Publishing.