Mapping Problems To Skills Combining Expert Opinion And Student Data

Construction of a mapping between educational content and skills is an important part of development of adaptive educational systems. This task is difficult, requires a domain expert, and any mistakes in the mapping may hinder the potential of an educational system. In this work we study techniques for improving a problem-skill mapping constructed by a domain expert using student data, particularly problem solving times. We describe and compare different techniques for the task - a multidimensional model of problem solving times and supervised classification techniques. In the evaluation we focus on surveying situations where the combination of expert opinion with student data is most useful.