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IT is a field that requires extensive knowledge. The Japanese government has published the document which defined the knowledge about IT. This document is called ITSS (Information Technology Skill Standard). The ITSS document defines 11 job categories. This paper proposes a method to derive what should be learned for these 11 job categories. In order to learn efficiently, it is indispensable to discern what is important for targeted for learning. By proposed method, important words are extracted from the document of each job categories using cosine similarity algorithm. High weight keywords were used to estimate the most important required education courses for each IT job category.
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