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UK Department for Education, 2024
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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Chutinan Noobutra – LEARN Journal: Language Education and Acquisition Research Network, 2024
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…
Descriptors: Error Correction, Native Language, Second Language Learning, Second Language Instruction
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Farnia, Maryam – Teaching English with Technology, 2019
This paper aimed at investigating humor in text-based computer mediated communication (CMC). To this end, 200 turns exchanged by a number of 50 English language teachers on Viber, a messaging application, were randomly selected and analyzed based on Adam's (2012) classification of humor to examine emoticons, punctuations (question mark,…
Descriptors: Humor, Computer Mediated Communication, English (Second Language), Second Language Learning
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Alemi, Minoo; Givi, Samira Salmani; Rezanejad, Atefeh – Language Teaching Research Quarterly, 2022
Digital storytelling (DST) is one of the areas which has entered the field of foreign language education and has proved to be beneficial in learning different language skills. However, it remains underexplored whether and how DST can affect learners' writing skill and motivation to write. The present study sought to investigate the impact of DST…
Descriptors: Story Telling, English (Second Language), Second Language Learning, Second Language Instruction
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Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
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…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
Penrose, John M. – ABCA Bulletin, 1984
Reviews four computer programs that check grammar, punctuation, and spelling; discusses their applicability in the business writing process. (AEA)
Descriptors: Business Communication, Computer Software, Grammar, Punctuation
Naeem, Marwa Ahmed Refat – Online Submission, 2007
The current study aims at investigating the effect of a suggested CALL program on developing EFL learners' mechanics of writing in English. An unbiased simple random sample of eighty fourth-year students (2006/2007) of the English Department at the Faculty of Education in Kafr El-Sheikh has been chosen to carry out the experiment. Forty students…
Descriptors: Experimental Groups, Control Groups, Punctuation, Computer Assisted Instruction
Oates, Rita Haugh – Quill and Scroll, 1987
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)
Descriptors: Authoring Aids (Programing), Computer Software, Computer Software Reviews, Computer Uses in Education