Automated scoring of writing operates under the assumption that the quality of a student essay can be characterized by a model of weighted features that are extracted from the essay. Because the automated scoring model is trained predicated on a representative sample of essays for a prompt, associated with each feature is an expected range of acceptable values based on the distribution in the t...

Reading comprehension is largely tested in schools using handwritten responses. The paper describes computational methods of scoring such responses using handwriting recognition and automatic essay scoring technologies. The goal is to assign to each handwritten response a score which is comparable to that of a human scorer even though machine handwriting recognition methods have high transcript...

Scoring constructed-response items can be highly difficult, time-consuming, and costly in practice. Improvements computer technology have enabled automated scoring of items. However, the application without an investigation test equating lead to serious problems. The goal this study was score mixed-format tests automatically with different test/training data rates investigate indirect effect th...

Essay questions designed to measure writing ability, along with open-ended questions requiring short answers, are highly-valued components of effective assessment programs, but the expense and logistics of scoring them reliably often present a barrier to their use. Extensive research and development efforts at Educational Testing Service (ETS) over the past several years (see http://www.ets.org...

The biggest obstacle to choosing constructed-response assessments over traditional multiple-choice assessments is the large cost and effort required for scoring. This project is an attempt to use different neural network architectures to build an accurate automated essay grading system to solve this problem.