This report describes a project intended to overcome certain obstacles to the dissemination to other postsecondary institutions of a new technique for teaching U.S. History developed at Carnegie Mellon University. This technique utilizes a software system, The Great American History Machine (GAHM), which enables undergraduates to explore a huge body of census and elections data for the counties of the United States for the 19th and 20th centuries through a map interface. The purpose of this teaching technique is to empower undergraduates to think like historians. Professional historians search for patterns in huge bodies of information which they master in the course of years of studying a particular society or problem in the past. Teacher documentation was written, new datasets were prepared for inclusion in the system, and a hypertext capability was developed to enable students to search the system in more intuitive ways and to consult online information on the meaning of census variables included in the system. Arrangements have been made for the software to be maintained and distributed by the Academic Software Development Group of the University of Maryland. An executive summary is provided. (SWC)