We present a new ITS system called SCALE (Student Centered Adaptive Learning Engine), which is focused on improving learning outcomes by using data collected from existing and emerging educational technology systems combined with machine learning techniques to automatically generate adaptive capabilities. This allows for the creation of intelligent tutoring systems in a less costly fashion in terms of time and effort. SCALE uses data logs collected from an existing educational technology system to create the initial adaptivity and then improves over time as additional data is added or with the help of human input. This paper describes two main adaptive capabilities of problem selection and hint generation.
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关键词
Problem Selection,Intelligent Tutoring System,Student Model,Adaptive Capability,Human Input