This session will illustrate how i>clickers can be used to address the realization of some of the recommendations for teaching introductory statistics suggested in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) in large statistics lectures. The session will begin with a brief overview of the implementation of clickers and then provide a short example of each of the following three uses of clickers in the classroom: 1) questions designed to highlight common conceptual misunderstandings in statistics, 2) questions designed as review questions for topics already addressed, and 3) questions provide student data for class examples. The remainder of the session will be devoted to describing a suite of twelve activities that were designed to develop student conceptual understanding of inference, with details provided for two of the activities. In the activities, each student performs a simulation once using a calculator and the results are collected via i>clickers. These activities allow students to experience statistical concepts such as distributions or models, variability, and the Central Limit Theorem, in ways that they cannot experience without these technologies. The large class, therefore, becomes a learning asset, rather than a liability.