Building a mapping between items and their related knowledge components, while difficult and time consuming, is central to the task of developing intelligent tutoring systems (ITS). Improving performance on this task by creating a semi-automatic skill encoder would facilitate ITS development. The goal of this project is to explore text classification techniques to reduce the time required to correctly tag items. This work has received favorable peer-review and was accepted for publication at the 8th Annual Intelligent Tutoring System Conference.
Worcester Polytechnic Institute
Major Qualifying Project
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