1. A method of automatically extracting conceptual graphs from text files, comprising the steps of: first determining a set of pedagogically significant key terms, wherein the key terms do not comprise all of the terms in the text file or files, and the key terms are derived from text that does not include the text from which the conceptual graphs are generated; after the step of determining a set of pedagogically significant key terms, determining a set of semantic relationships between the key terms; after the step of determining a set of pedagogically significant key terms, defining a prescribed set of edge relations; after the step of determining the set of semantic relations and the step of defining the prescribed set of edge relations, semantically parsing, using a computer microprocessor coupled to a computer memory, one or more text files; and after the step of semantically parsing, automatically extracting, using the computer microprocessor, one or more conceptual graphs from the text file or files based upon the set of semantic relationships between the key terms and the prescribed set of edge relations; and creating questions in an automated tutor system based upon said one or more conceptual graphs.
2. The method of claim 1 , wherein the determination of the set of pedagogically significant key terms and the set of semantic relationships is performed for a particular subject matter area or domain.