Profile-Based Algorithm for Personalized Gamification in Computer-Supported Collaborative Learning Environments

In this paper we present an approach for personalizing gamification to the needs of each individual person. We designed the personalization for computer-supported collaborative learning environments by synthesizing three existing design frameworks: the lens of intrinsic skill atoms, gamification user type hexad and heuristics for effective design of gamification. The result of the design process is a context-aware and personalized gamification ruleset for collaborative environments. We also present a method for translating gamification rulesets to machine-readable classifier algorithm using the CN2 rule inducer and a framework for connecting the produced algorithm to collaborative software. Lastly, we present an example software for personalized gamification that was produced by applying the process presented in this paper.