Problem Response Theory and its Application for Tutoring
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 4th International Conference on Educational Data Mining |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | Problem response theory; problem solving Tutor |
| Description | Problem solving is an important component of education. To make problem solving activities attractive, it is important to confront students with problems of suitable difficulty -- neither too easy, nor too difficult. Since students vary in their skills, it is also crucial to make problem recommendations individually adaptive. We present a novel problem response theory, which predicts how much time will a student need to solve a given problem. Our theory is an analogy of the item response theory, but instead of probability of a correct answer we model problem solving time. We introduce a problem solving tutor, which uses the theory to make adaptive predictions and to recommend students problems of suitable difficulty. |
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