The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…

This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…

This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

This article reviews some essential theoretical and empirical research literature that discusses the role of memory in second language acquisition and instruction. Two models of literature review--thematic and study-by-study--were used to analyze and synthesize the existing research. First, issues of memory retention in second language acquisition…

The content of this paper will focus on both language and computer practices and how school age students develop their literacy skills in the two domains of "language" and "computers." The term literacy is a broad concept that has attracted many interpretations over the years. Some of the concepts raised by the literature apply…

Results of a study are presented that suggest the grammatical structures of English some deaf and hard of hearing students struggle to acquire. A review of the literature from the past 40 years is presented, exploring particular lexical and morphosyntactic areas in which deaf and hard of hearing children have traditionally exhibited difficulty.…

Reviews research on and recommends the use of computer-assisted instruction for remediation of grammar and punctuation skills. Gives recommendations for journalism schools planning to begin such a program. Presents guidelines for suitable computer software and reviews appropriate and inappropriate software. (SR)

Suggests grammar checkers remain troublesome and inaccurate. Reviews the literature of grammar checker technology in composition. Analyzes the current grammar checking capability of the most popular word-processing programs in the United States, Microsoft 2000 and Corel 9.0 (2000). Concludes by suggesting uses of grammar checkers for composition…

Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

Virtually every aspect of modern life has been changed and shaped by the computer's tiny, ubiquitous silicon chips. It is not surprising that computers have had a profound effect on the way students learn in the modern classroom. This topical bibliography and commentary focuses on how computers can be used to enhance the teaching of language arts.…

The potential application of artificial intelligence (AI) to computer-assisted language learning (CALL) is explored. Two areas of AI that hold particular interest to those who deal with language meaning--knowledge representation and expert systems, and natural-language processing--are described and examples of each are presented. AI contribution…

A critical review of computer software for computer-assisted instruction (CAI) in Latin presents information regarding user-friendliness, instructiveness, special effects, costs, and availability. Survey responses of first- and second-year Latin students (N=65) at a high school provided data for the comparison of programs. Programs reviewed…

This article reviews ways that computers can support writing by students with learning disabilities. It discusses research on word processing, software for transcription and sentence generation, spelling checkers, speech synthesizers, word prediction programs, grammar and style checkers, prompting programs, outlining and semantic mapping software,…

Intended for language teachers at all levels, administrators, and researchers, this book presents essays on the use of educational technology in language teaching, focusing on the use of computer-assisted language learning (CALL). The writings suggest the principles that should guide CALL in curriculum, methodology, and research efforts; in the…