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Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
Sowell, Jimalee – English Teaching Forum, 2019
The use of writing models with nonnative English speakers has received a certain amount of criticism--especially from teachers whose students copy models in their entirety or follow them too closely. The misuse of models has brought some teachers to the point where they believe that the best kind of pedagogy is to abandon writing models…
Descriptors: Second Language Learning, Teaching Methods, Literary Genres, Discourse Modes
Le, Elisabeth – International Review of Applied Linguistics in Language Teaching (IRAL), 2004
This article presents and illustrates a formal model of linguistic analysis in order to explain a phenomenon that is fundamental to translators in their practice: the construction of coherence. First, the role of paragraphs in the construction of coherence is explained with the application of the model to a newspaper editorial. It is shown, in…
Descriptors: Paragraph Composition, Rhetoric, Linguistics, Translation
Waldron, Karen A. – Pointer, 1987
The article describes a secondary-level curriculum for written expression based on a linguistic model. Directed toward learning disabled adolescents, the method teaches sentence and paragraph construction based on verbal and written models presented by the teacher. Writing good sentences, paragraphs, and essays is presented as a logical extension…
Descriptors: Adolescents, Essays, Expository Writing, Expressive Language
Gorin, Joanna S.; Embretson, Susan E. – Applied Psychological Measurement, 2006
Recent assessment research joining cognitive psychology and psychometric theory has introduced a new technology, item generation. In algorithmic item generation, items are systematically created based on specific combinations of features that underlie the processing required to correctly solve a problem. Reading comprehension items have been more…
Descriptors: Difficulty Level, Test Items, Modeling (Psychology), Paragraph Composition