An integrated system to assist personalized learning based on gradual adaption recommendation model

This study presents an integrated adaptive system to support and facilitate individual learning based on a recommendation model that gradually adapts to a learner´s needs and information access behaviors, including various learning related activities, over different time spans. In this paper, we focus on describing the integrated framework and discussing the design and implementation issues of the prototype system for personalized learning support.