Showing 1 - 2 of 2 Research Library Publications
Posted:
| Le An Ha, Victoria Yaneva, Polina Harik, Ravi Pandian, Amy Morales, Brian Clauser
Proceedings of the 28th International Conference on Computational Linguistics
This paper brings together approaches from the fields of NLP and psychometric measurement to address the problem of predicting examinee proficiency from responses to short-answer questions (SAQs).
Category:Assessment-Oriented Research, Scoring
Posted:
| C. Liu, M. J. Kolen
Journal of Educational Measurement: Volume 55, Issue 4, Pages 564-581
Smoothing techniques are designed to improve the accuracy of equating functions. The main purpose of this study is to compare seven model selection strategies for choosing the smoothing parameter (C) for polynomial loglinear presmoothing and one procedure for model selection in cubic spline postsmoothing for mixed‐format pseudo tests under the random groups design.