In the follow-up of the COVID-19 outbreak, governments around the world have declared quarantine in an attempt to control the pandemic. This caused adverse effects on the education sector. Therefore, to give continuity to education, the world has had to move quickly from regular face-to-face courses to distance learning or hybrid courses enhanced by Information and Communication Technologies. Those type of educational systems can benefit from more personalization. This paper proposes a mental health-based recommendation technique that considers students’ mental well-being when recommending learning objects, by adopting a hybrid approach combining a knowledge-based approach to link specific learning objects to specific learners and a collaborative filtering approach to get the best rated resources from students with the same mental health condition as the targeted student.