Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…

User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…

Large-scale numeracy assessments are intended to facilitate the improvement of educational outcomes; however, it is not clear exactly how this is to be achieved. To move towards the goal of numeracy for all, it is necessary to systematically address issues that are known to be difficult, pervasive and persistent. This paper includes an analysis of…

There are two types of errors made in feeling-of-knowing (FOK) studies: a commission error occurs when a subject answers a question incorrectly, and an omission error occurs when a subject fails to provide an answer for a given question. A subject makes a commission error if he or she responds to the following question, "In which city does…

Sentences evoked from three- to five-year-olds (N=16), analyzed for errors (particularly copying-without-deletion), showed errors when: the subject noun phrase (NP) contained a relative clause, the relative clause had an object gap, and the relative clause was long. (Author/CB)