Game Theory is the mathematical modelling of decision making processes. In simple terms, it uses mathematical expressions to analyse strategies employed by players in order to maximize their payoffs from the game. When applied in a social perspective, game theory can model individuals’ behaviours (strategies) in relation to the pursued benefit (payoff). In the context of Online Social Networks (OSNs), Game Theory is used to study user patterns in structural balance (inter-personal relations that have produced gains in the past), strategies for social decision problems and evolution of co-operation in dynamic environments.[1] Prediction of behaviour can be immensely valuable in the designing of an OSN. After all, Social Networks rely on user interaction to derive content. In the case of ‘LessonPlan’, user interaction is what will provide the added value on top of the initial information about the modules. Through module feedback, commentary on the practical aspects of teaching or coursework, students will be able to collaborate, solve problems, improve their performance and communicate necessary or desirable changes to the academics and the University. In other words, social interaction in the platform is essential for students to derive gains from it. Below we will consider the likelihood of random students to see this potential value of participating in the platform.