E-learning systems are transforming the educational sector and making education more affordable and accessible. Recently, many e-learning systems have been equipped with advanced technologies that facilitate the roles of educators and increase the efficiency of teaching and learning. One such technology is Automatic Essay Grading (AEG) or…

While learners may have access to reference tools during second language (L2) writing, the latest developments in machine translation (MT), such as "Google Translate" requires examination as to how using the tool may factor into the second language learners' writing products. To this end, the purpose of this study was to examine how MT…

The current study examined the degree to which the quality and characteristics of students' essays could be modeled through dynamic natural language processing analyses. Undergraduate students (n = 131) wrote timed, persuasive essays in response to an argumentative writing prompt. Recurrent patterns of the words in the essays were then analyzed…

This article investigates the lexical and discourse features of English text and discourse with automated computer technologies. Specifically, this article examines the cohesion of English text and discourse with automated computer tools, Coh-Metrix and TEES. Coh-Metrix is a text analysis computer tool that can analyze English text and discourse…

A key concern for writers is the creation of cohesion in a text, and writers are told by style manuals to avoid the use of demonstratives ("this," "that," "these," "those") as pronouns in order to maintain cohesion. However, previous corpus-based investigations have already revealed that authors of academic texts use demonstratives as both…

In this study, a corpus of expert-graded essays, based on a standardized scoring rubric, is computationally evaluated so as to distinguish the differences between those essays that were rated as high and those rated as low. The automated tool, Coh-Metrix, is used to examine the degree to which high- and low-proficiency essays can be predicted by…