In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…

Learner perceptions toward and utilization of L1 glossed feedback in an automated writing evaluation (AWE) program were investigated in an Intensive English Program (IEP) class. This small case study focused on two Chinese students who responded to weekly surveys, semi-structured interviews, and screen capture videos of their revisions over a…

This study investigated the application of "WriteToLearn" on Chinese undergraduate English majors' essays in terms of its scoring ability and the accuracy of its error feedback. Participants were 163 second-year English majors from a university located in Sichuan province who wrote 326 essays from two writing prompts. Each paper was…

In the past decade, a new wave of writing assessment has evolved as a result of advances in computer technology, highlighting the potential of automated writing evaluation (AWE) in the L2 writing curriculum (Warschauer & Ware, 2006). Today's innovative AWE programs offer ESL instructors promising solutions for providing immediate feedback and…

This study utilized a theory proposed by Mohan, Slater, Luo, and Jaipal (2002) regarding the Developmental Path of Cause to investigate AWE score use in classroom contexts. This "path" has the potential to support validity arguments because it suggests how causal linguistic features can be organized in hierarchical order. Utilization of…

The purpose of this study is to explore the nature of feedback that English as a Second Language (ESL) students received on their writings either from an automated essay scoring (AES) system or from the teacher. The participants were 12 adult ESL students who were attending an intensive English center at a university in Florida. The drafts of the…

In this paper we present a system for automatic correction of errors made by learners of English. The system has two novel aspects. First, machine-learned classifiers trained on large amounts of native data and a very large language model are combined to optimize the precision of suggested corrections. Second, the user can access real-life web…

A computer grammar checker is described that evolved from a sample of errors and resulting in a taxonomy of 14 main and 93 subtypes. Using a 1,402-word stem electronic dictionary, an augmented transition network parser, and a set of disambiguating rules, the checker provides feedback for 7 types of errors. (12 references) (Author/LB)

Describes a computer-assisted research project into the writing errors of English as a second language college students. Sentences with error types and first languages of students were entered into a database and analyzed for the most common errors of all students and the most prevalent patterns within each language group. (Author/SED)

A database used in an analysis of writing errors of Swedish university students is discussed, including the major grammatical and vocabulary errors discovered. This study is compared with others, including a study of the writing errors of students from a variety of first-language backgrounds. Applications and directions for future research are…