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Huiyu Zhang; Linda Fang – Educational Media International, 2023
In Temasek Polytechnic, Singapore, several AI chatbots acting as digital teaching assistants were trialed between July 2021 and August 2022. As these were developed for different purposes, it is important to learn if these AI chatbots help achieve the desired learning outcomes. This paper focuses on lessons learnt from three chatbots designed for…
Descriptors: Foreign Countries, Artificial Intelligence, Asynchronous Communication, Teaching Assistants
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Lin, Po-Han; Liu, Tzu-Chien; Paas, Fred – Reading and Writing: An Interdisciplinary Journal, 2017
Computer-based spell checkers help to correct misspells instantly. Almost all the word processing devices are now equipped with a spell-check function that either automatically corrects errors or provides a list of intended words. However, it is not clear on how the reliance on this convenient technological solution affects spelling learning.…
Descriptors: Educational Technology, Technology Uses in Education, Spelling, Word Processing
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AbuSeileek, A. F. – Journal of Computer Assisted Learning, 2013
This study investigated the effect of computer-mediated corrective feedback types in an English as a foreign language (EFL) intact class over time. The participants were 64 English majors who were assigned randomly into three treatment conditions that gave and received computer-mediated corrective feedback while writing (track changes, word…
Descriptors: Computer Software, Error Correction, Feedback (Response), English (Second Language)
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Mezei, Peter J.; Heller, Kathryn Wolff – Physical Disabilities: Education and Related Services, 2012
Many students with physical disabilities have difficulty with writing fluency due to motor limitations. One type of assistive technology that has been developed to improve writing speed and accuracy is word prediction software, although there is a paucity of research supporting its use for individuals with physical disabilities. This study used an…
Descriptors: Educational Technology, Assistive Technology, Prediction, Physical Disabilities
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Rimrott, Anne; Heift, Trude – Language Learning & Technology, 2008
This study investigates the performance of a spell checker designed for native writers on misspellings made by second language (L2) learners. It addresses two research questions: 1) What is the correction rate of a generic spell checker for L2 misspellings? 2) What factors influence the correction rate of a generic spell checker for L2…
Descriptors: Word Processing, German, Spelling, Second Language Learning
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Potter, Reva; Fuller, Dorothy – English Journal, 2008
Grammar checkers do not claim to teach grammar; they are tools to bring potential problems to the writer's attention. They also offer only formal and Standard English preferences, limiting the freer expression of some literary forms. Without guidance, students may misuse the checker, become frustrated, and feel discouraged. Users must be…
Descriptors: Standard Spoken Usage, Action Research, Grammar, English
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MacArthur, Charles A.; And Others – Journal of Special Education, 1996
Two studies with a total of 82 students (grades 5-7) with learning disabilities found that, unaided, students corrected 9% of their errors; with spelling checkers, they corrected 37% of errors. Spelling checkers failed to identify about 30% of errors. Students usually selected the correct word from spelling checker suggestions. (Author/DB)
Descriptors: Computer Software, Error Correction, Intermediate Grades, Junior High Schools