Most of the time, lifelong learners have different backgrounds, abilities, experiences and prior knowledge. This is especially true in case of MOOCs that can reach a large number of learners but the same content is proposed for learners. According to the low average completion rate for MOOCs, the “one size fits all” policy is not relevant. This paper aims to define the functional and technical architecture to personalize content in Massive Open Online Courses in a Lifelong Learning (LLL) perspective to overcome these drawbacks. The main goal of the European project ITEA 3, called MOOCTAB to create a Tablet-based platform dedicated to LLL using an on-demand cloud based MOOC platform with a personalized content. Our approach is applied on a Java course where we present the domain model modelled in the LMAP editor and the learner model for three different learners.