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Massive Open Online Courses (MOOCs) provide open access to a wide variety of learning contents in many different knowledge areas, so that eventually anyone in the world can join these courses and learn, no matter the level of education. However, the majority of participants that currently take advantage of MOOCs already have Higher Education qualifications. Therefore, there is an open challenge in promoting the embracement of MOOCs by those who have not achieved a college degree, in a society that demands more and more up-todate competences. MyLearningMentor is an early-stage application aimed at facilitating the acquisition of work habits and study skills when learning through MOOCs, so that even people without college degrees can easily address the challenge of successfully completing MOOCs. This paper presents a planning algorithm to suggest students’ study time efficiently and dynamically, considering their profiles, study preferences and the MOOCs they signed up. This algorithm is implemented by the adaptive planner, the main component in MyLearningMentor.