Artificial intelligence (AI) for supporting second language (L2) writing processes and practices has garnered increasing interest in recent years, establishing AI-mediated L2 writing as a new norm for many multilingual classrooms. As such, the emergence of AI-mediated technologies has challenged L2 writing instructors and their philosophies…

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…

In synchronous computer-mediated contexts, peer-to-peer interaction at the microlevel has received little scrutiny. In applying a conversation analysis approach, this study scrutinizes the precise nature of peer-to-peer advice giving and receiving. In this process, an advice giver can be viewed at certain moments as more competent to evaluate 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…

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 a project-based approach to teaching a foreign language at the university level, students are often required to participate in several task-based writing activities. In doing so, language learners not only write incorrect forms, but also correct forms of the same structures, both of which provide useful information on their strengths and…

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…

This paper presents an empirical evaluation of automated writing evaluation (AWE) feedback used for L2 academic writing teaching and learning. It introduces the Intelligent Academic Discourse Evaluator (IADE), a new web-based AWE program that analyzes the introduction section to research articles and generates immediate, individualized, and…

We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…

A typology for analyzing grammatical errors in student-written German compositions is presented and approaches to providing helpful error messages to student users of a parser-based writing aid are discussed. (19 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)

Describes development and evaluation of an error analysis procedure for a computer-assisted language learning program using natural language processing techniques. The program can be used for learning passive voice in Japanese on any World Wide Web browser. The program enables learners to type sentences freely, detects errors, and displays…