The development of adaptive and personalized gamification according to its users is the focus of current research to maximize learning systems. The same games may have different consequences and responses in different users; therefore, gamification should be adaptive and personalized. A variety of approaches are used to investigate personalized adaptive gamification. For this reason, this study aims to develop a Systematic Literature Review (SLR) that summarizes current research and finds new gaps in personalized adaptive gamification. The development of SLR in this study discovers twenty-three papers taken from reputable sources from 2017 to 2022. This study identified user characteristics, game elements, and implementations of personalized adaptive gamification. Analysis shows that Hexad Player Type is famous for its user characteristics, while leaderboard is the gamification element that is frequently used. Moodle Learning Management System and Chi-Square Test are the most popular platform and analytics tools.