Impact of Machine Learning Algorithms in Decision-Making With Serious Games in the Education and Healthcare Sectors

Abstract

A serious game is an environment provided for everyone of all age groups with the aim of teaching, learning, or improving self in while enjoying the game. In simple terms, it means the games that are not intended for fun or entertainment but for learning. They are called serious games. In the field of education, the purpose of serious games is to involve learners in the process of learning with the ultimate aim to get them involved in the learning and to improvise the memory. Similarly, in the case of the healthcare sector, healthcare professionals use serious games to involve the patients in tough tasks that could be life threatening situations for them as a treatment, and to simulate training environments for learning. Each learner can complete a specific outcome by playing a serious game. This chapter explains the impact of different machine learning algorithms on decision-making with serious games with respect to teaching in the field of education sector and therapy in the field of healthcare.