In computer science, fuzzy logic is a powerful tool that expands upon classical binary logic to represent ambiguity and imprecision mathematically. It emulates human thinking and effectively tackles issues involving uncertainty and vagueness. The concepts of fuzzy sets, membership functions, and fuzziness play a crucial role in developing fuzzy inference systems, which make decisions based on fuzzy logic. Furthermore, the application of interval type-2 fuzzy sets can better handle problems with significant uncertainty than traditional fuzzy sets. Fuzzy finite state machines (FFSMs) are another application of fuzzy logic that provides a more versatile approach to modeling complex systems. The chapter describes all of those above and highlights the use of fuzzy reasoning techniques in educational applications and games, demonstrating the potential of this technology to significantly enhance the way we learn and interact with technology. In addition to providing an overview of fuzzy logic principles and their applications, this chapter presents a review of educational applications and games where fuzzy logic has been utilized. The review examines various ways in which fuzzy logic has been integrated into educational contexts, showing its potential to enhance learning experiences. Additionally, this chapter identifies open problems and challenges in using fuzzy logic within educational settings, highlighting areas for future research and development. By synthesizing existing literature and identifying gaps in knowledge, this review contributes to a deeper understanding of the role of fuzzy logic in educational technology and points towards new directions for further exploration and innovation.