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Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Gabriella Reynolds; Krystal L. Werfel; Sarah Hudgins; Stephen Camarata; Fred H. Bess – Exceptional Children, 2024
The purpose of this study was to evaluate the types of spelling errors made by children with mild to moderate hearing loss (CMMHL) compared with children with typical hearing (TH) and to determine if types of spelling errors were related to linguistic or audiologic factors. CMMHL and TH completed measures of spelling, spoken language, speech…
Descriptors: Spelling, Error Patterns, Hearing Impairments, Correlation
Rotem, Avital; Henik, Avishai – Journal of Learning Disabilities, 2015
The current study examined the development of two effects that have been found in single-digit multiplication errors: relatedness and distance. Typically achieving (TA) second, fourth, and sixth graders and adults, and sixth and eighth graders with a mathematics learning disability (MLD) performed a verification task. Relatedness was defined by a…
Descriptors: Foreign Countries, Mathematics Education, Learning Disabilities, Multiplication
Chou, Li-hua; Hayes, Denis Michael – English Language Teaching, 2009
This study systematically investigates the English writing research in Taiwan, over the span of time from 1989 to 2008, a 19-year time period. Data collection consisted of five major sources. Guided by Juzwik et al's (2006) study, the data were analyzed based on the general problems under investigated, the age groups being researched, the…
Descriptors: Writing Research, Elementary School Students, High School Students, College Students