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CareerMap™
Developed in collaboration with Air Force Research Laboratory, CareerMap is used by the military and corporations to match mission and job requirements with individual historical job and training data. It is also used to restructure occupations based on core competencies and to help identify individuals most qualified for these occupations.

Training courses can be combined based on conceptual overlap. Candidates for various positions can be assigned just the right training to maximally enhance their value to the organization. The system is equally appropriate for a military commander or corporate director assembling a high performance team. CareerMap uses the KAT™ engine to read and understand thousands of personnel records, greatly outperforming keyword-matching methods. Its graphical interface shows similarly trained individuals in a rotating color 3D space with similarly trained individuals as neighboring points.

Auto-autodidact (A2D)
Auto-autodidact (autodidact: a self-taught person) is an intelligently mentored online collaborative learning environment that capitalizes on the motivational power of peer interaction, the instant availability of enormous textual resources, and the possibility of sharing individual knowledge. A2D affords users enhanced interactivity with content and with other users as well as embedded free text assessment and diagnostics. A2D enhances traditional online repositories of content and provides continuous embedded assessment, tutorial dialogue, and meaning-based information insertion. It can include packaging of content to industry standards, and provide automated content-tagged learning objects with SCORM conformance.

A2D combines the Internet, electronic libraries, and the KAT engine to produce an independent learning and problem-solving environment for individuals and groups. Using the KAT engine, Auto-autodidact first learns the vocabulary and concepts of a topic by automatic training on textbooks. Then, as students study and write, and groups discuss and plan, it will continuously evaluate what they know and don't, find relevant information anywhere in an electronic library, and connect participants with complementary needs and knowledge.


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