We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated hypotheses, acquire those skills. These results provide evidence towards realizing rigorous, scalable, performance-based assessment of scientific inquiry skills and the efficacy of an automated scaffolding approach.