Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Visiting Washington, D.C.
Personal Schedule
Sign In
X (Twitter)
Students’ difficulties with randomness and probability have been identified as one of the major sources of difficulties in learning complex systems and emergent phenomena. This paper explores students’ difficulties with different types of randomness in complex systems through a design-based research study revolving around a computer model-based scientific inquiry curricular unit--BeeSmart. Through analyzing interview data, we found that randomness in agents’ interactions, as opposed to actions, are more challenging for students to understand. This finding contributes to the literature of learning complex systems and the design of model-based curriculum by providing more detailed distinctions between different types of randomness and the difficulties associated with them.