Search - Research Collection

Results

Now showing items 1-2 of 2

Optimal Ranking of Test Items using the Rasch Model

Vats, Divyanshu; Lan, Andrew S.; Studer, Christoph; et al. (2016)

2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

We study the problem of ranking test items, i.e., the ordering of items according to the amount of information they provide on the latent trait of the respondents. We focus on educational applications, where instructors are interested in ranking questions so as to select a small set of informative questions in order to efficiently assess the students' understanding on the course material. Using the Rasch model for modeling student responses, ...

Conference Paper
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data

Lan, Andrew S.; Goldstein, Tom; Baraniuk, Richard G.; et al. (2016)

Proceedings of Machine Learning Research ~ Proceedings of the International Conference on Machine Learning, 20-22 June 2016, New York, New York, USA

Statistical models of student responses on assessment questions, such as those in homeworks and exams, enable educators and computer-based personalized learning systems to gain insights into students' knowledge using machine learning. Popular student-response models, including the Rasch model and item response theory models, represent the probability of a student answering a question correctly using an affine function of latent factors. ...

Conference Paper