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Kilpatrick, Jennifer Renée; Wolbers, Kimberly A. – Grantee Submission, 2019
Deaf students often differ from their hearing peers in written language development. Providing developmentally appropriate instruction is ideal, yet current methods of writing assessment do not provide teachers with sufficient information regarding the written language (i.e., syntactic) development of deaf students. In this research, we use a…
Descriptors: Grammar, Written Language, Deafness, Students with Disabilities
Taboada Barber, Ana; Klauda, Susan Lutz; Stapleton, Laura – Grantee Submission, 2020
Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…
Descriptors: Reading Comprehension, Bilingualism, Reading Motivation, Predictor Variables
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McMaster, Kristen L.; Kendeou, Panayiota; Bresina, Britta Cook; Slater, Susan; Wagner, Kyle; White, Mary Jane; Butterfuss, Reese; Kim, Jasmine; Umana, Cristina – Grantee Submission, 2019
We describe the design and development of a technology-based inference-making intervention system that includes a set of interactive learning modules, each of which engages students to (a) view age-appropriate children's videos, (b) learn vocabulary words that are central to main ideas in each video, (c) respond to inferential questions, (d)…
Descriptors: Inferences, Computer Software, Educational Technology, Technology Uses in Education
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Wong, Kevin M. – Grantee Submission, 2019
In this thesis, I present three related papers that collectively investigate the instructional supports on screen and in the media viewing context that influenced English and heritage language vocabulary knowledge in DLLs. In study 1, I examine how specific pedagogical approaches used in educational media might benefit DLLs. In study 2, I…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Educational Media
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation