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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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Erarslan, Ali – Shanlax International Journal of Education, 2021
Metadiscourse is a tool for writers to guide and interact with readers through texts. Yet in most student texts, one of the points lacking is the interaction between writers and readers. In this study, frequency and type of interactive and interactional metadiscourse features were explored via students' research-based essays based on Hyland's…
Descriptors: Correlation, Taxonomy, Essays, Discourse Analysis
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Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
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Mogey, Nora; Hartley, James – Innovations in Education and Teaching International, 2013
There is much debate about whether or not these days students should be able to word-process essay-type examinations as opposed to handwriting them, particularly when they are asked to word-process everything else. This study used word-processing software to examine the stylistic features of 13 examination essays written by hand and 24 by…
Descriptors: Foreign Countries, College Freshmen, Handwriting, Word Processing
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Chase, Clinton I. – Journal of Educational Measurement, 1983
Proposition analysis was used to equate the text base of two essays with different readability levels. Easier reading essays were given higher scores than difficult reading essays. The results appear to identify another noncontent influence on essay test scores, leaving increasingly less variance for differences in content. (Author/PN)
Descriptors: Content Analysis, Difficulty Level, Essay Tests, Higher Education