This report presents the findings of a research project funded by and carried out under the auspices of the Graduate Record Examinations Board Researchers are encouraged to express freely their professional judgment. Therefore, points of view or opinions stated in Graduate Record Examinations Board Reports do not necessarily represent official Graduate Record Examinations Board position or poli...

With the innovation of computer technology and the application of the new network technology, many auxiliary network teaching and learning software and programs related to English teaching has emerged. Automated essay scoring system is a revolutionary innovation network system, in recent years, it makes the reform of English essay teaching mode more feasible. Basing on the network automated ess...

In a previous paper (Wolfe, Schreiner, Rehder, Laham, Foltz, Landauer, & Kintsch, this issue) we have shown how Latent Semantic Analysis (LSA) can be used to assess student knowledge how essays can be graded by LSA and how LSA can match students with appropriate instructional texts. We did this by comparing an essay written by a student with one or more target instructional texts in terms of th...

The overall goal of this essay is to explore the initial findings of neuroscientific research on meditation; in doing so, the essay also suggests potential avenues of further inquiry. The essay consists of three sections that, while integral to the essay as a whole, may also be read independently. The first section, “Defining Meditation,” notes the need for a more precise understanding of medit...

Writing has been increasingly regarded by the testers of language tests as an important indicator to assess the language skill of testees. As such tests become more and more popular and the number of testees becomes larger, it is a huge task to score so many essays by raters. So far, many methods have been used to solve this problem and the traditional method is Latent Semantic Analysis (LSA). ...

The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters’ performance. Spearman rank correlation coefficient tests were...

The e-rater system 1 , an automated essay scoring system, developed at Educational Testing Service (ETS), is currently being used to score essay responses on the Graduate Management Admissions Test (GMAT). The average agreement between human readers, and between independent human readers and e-rater is approximately 92%. There is much interest in the larger writing community in examining the sy...

Neural approaches to automated essay scoring have recently shown state-of-theart performance. The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, organization, and conventions. This differs from the short answer content scoring task, which focuses on content accuracy. The inputs to neural essay scoring models – ngrams and embe...

We present the first system developed for automated grading of high school essays written in Swedish. The system uses standard text quality indicators and is able to compare vocabulary and grammar to large reference corpora of blog posts and newspaper articles. The system is evaluated on a corpus of 1 702 essays, each graded independently by the student’s own teacher and also in a blind re-grad...