ABSTRACT
This chapter closes by acknowledging the need for empirical research that can further inform personalized and adaptive learning game design, preparing the reader for a deeper discussion of measurement and evaluation in the closing chapter of this book. In this chapter, the authors focus on Kidaptive's proprietary Adaptive Learning Platform, which uses Bayesian Item Response Theory to equip game designers with the observations and interventions needed to support learner variation. To better understand how adaptive leveling works, it is best to play "Fish Force" to the 20th level or beyond. Although formative testing indicates that "Fish Force" can engage children for longer, focused play, when positioned alongside other options, many learners might not stick with it long enough to actually get to adaptive levels. Formative testing demonstrated that players sought feedback on their progress, an important consideration for future personalized and adaptive learning games.
