Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our previous research, but also revealed patterns that would not be easily detected without data visualizations. Such findings provided insights about designing effective learning scaffolds to support the development of problem-solving skills in young learners and will guide our next-step research.