Towards Efficient Item Calibration in Adaptive Testing

@inproceedings{Guzmn2005TowardsEI,
  title={Towards Efficient Item Calibration in Adaptive Testing},
  author={Eduardo Guzm{\'a}n and Ricardo Conejo},
  booktitle={User Modeling},
  year={2005}
}
Reliable student models are vital for the correct functioning of Intelligent Tutoring Systems. This means that diagnosis tools used to update the student models must be also reliable. Through adaptive testing, student knowledge can be inferred. The tests are based on a psychometric theory, the Item Response Theory. In this theory, each question has a function assigned that is essential for determining student knowledge. These functions must be previously inferred by means of calibration… CONTINUE READING