In the knowledge society the ultimate goal of education is not only to make learners learn but mostly to grow a correct learning behaviour that creates the best conditions for them to reach learning goals in a controlled and directed way. In many cases, a lack of self-regulatory skills is the main obstacle to adequate regulation and a new class of learning tools, named metacognitive tools, is needed. In this work we present a novel solution for self-regulated learning that tries to solve this issue by recommending feasible learning goals covering explicit and implicit learning needs and by generating individualized learning experiences based on recommended goals.