We describe the initial prototypes of several Intelligent tutoring systems designed to build students' scientific Inquiry skills. These Inquiry skills are taught In the context of acquiring knowledge of principles from a mlcroworld that models a specific domain. We have Implemented microworlds for microeconomics, electricity, and light refraction. All of the systems are highly interactive; students can pose questions, conduct experiments by manipulating domain specific factors, and record results. Using protocol studies of expert and non-expert learners using these microworlds we identify important inquiry strategies. W e have represented these strategies formally, allowing the mlcroworld to detect effective and ineffective Inquiry strategies. W e conclude with a description of a partially implemented 'inquiry coach*. This coach will be incorporated into the microworlds and teach the Inquiry strategies in the context of the specific mlcroworld domain knowledge.