Over the last decades, applied linguistics and language teaching/learning have investigated language errors committed by learners for both diagnostic and prognostic purposes. Initially, error analysis was conducted manually and involved a limited number of corpus. However, computer software advancement has facilitated much larger amounts of data…

This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…

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…

Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…

Illustrates some of the problems and the advantages of three programs designed for language arts instruction: "English Volume I" (MECC), "English SAT 1" (Microlab), and "Vocabulary Prompter" (Jagdstaffel). (AEA)

Reviews four computer programs that check grammar, punctuation, and spelling; discusses their applicability in the business writing process. (AEA)

Explains how the search feature available with most word processing programs can reinforce grammar and proofreading skills, helping students focus on grammatical agreement, comma usage, and sentence fragments. Discusses student responses to the technique. (DMM)

Reviews several software packages that analyze text readability, check for spelling and style problems, offer desktop publishing capabilities, teach interviewing skills, and teach grammar using a computer game. (SRT)