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In this paper, we examine the correlation between students' beliefs upon entering college and their likelihood of continuing on to become a physics major. Since 2004, we have collected CLASS survey and self-reported level-of-interest responses from students in the first-term, introductory calculus-based physics course (N>2500). Here, we conduct a retrospective analysis of students' incoming CLASS scores and level of interest, comparing those students who go on to become physics majors with those who do not. We find the incoming CLASS scores and reported interest of these future physics majors to be substantially higher than the class average, indicating that these students enter their first college course already having quite expert-like beliefs. The comparative differences are much smaller for grades, SAT score, and university predicted-GPA. [ABSTRACT FROM AUTHOR]

Interactive simulations can be engaging tools for student learning, allowing students to explore phenomena by asking questions and seeking answers through use of the sim. PhET simulations allow this process to happen dynamically so that students can continuously probe and explore the underlying science. For students to use simulations productively, understanding the science in the simulation must be challenging enough to maintain students' interest, but not so challenging that students are overwhelmed. A key aspect of achieving a good balance is the complexity of the simulation for students. We have formulated an initial model to quantify complexity based on the number, range, and effects of controls and representations within a simulation. We account for students' prior knowledge by adjusting the measured complexity depending on how students interpret the representations and conceptual connections within the simulation. Implications for simulation design and student engagement will be discussed in light of preliminary interview data. [ABSTRACT FROM AUTHOR]