 We have developed a model to capture some of the key drivers for motivating students for deep learning. As you can see, these are organised under three main components. Emotional states, the self-in-context and social relationships. Can you see any of the points that you wrote down as you watched the video earlier? Possibly, you are inspired about how passionate the students became about creating robots in classrooms. The emotional state of the learner is absolutely pivotal to engaging students for deep learning. Having fun and being interested and curious about the task at hand provides the buy-in for students to engage deeply with their activities. Here, we have seen the importance of real-world problems to creating the reason for learning. Working across disciplines to look at one topic in depth also seem to increase the emotional states of the learner. Or you may have been taken by the way that students became so immersed in what was happening in their science classrooms that they lost themselves in the design of their robot. They were eager to find out the next step in the process. They were driven by their own personal goals for learning from an innate sense of purpose to achieve a deeper understanding of the task. This is what we term the self-in-context. We know that learning is an embodied social and emotional process where the self-regulatory skills of the individual come into play with that social context. Perhaps, as you watched the video, you were taken with the connection that the students had with their science teachers. A sense of belonging through good social relationships is key to encouraging students to become engaged and motivated to learn. While the students conveyed some fear about their learning and others talked about being out of their comfort zone, the safe and supportive environments created by the teachers alleviated these feelings. Their group work with peers also generated important social synchrony leading to deep engagement. So, motivation for deep learning is social. Motivation for deep learning is emotional and it encompasses the self in the context of peers, classrooms, schools, homes and communities.