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Banich, Marie T.; Wang, Kai; Kim, Hyojeong; Leopold, Daniel R.; Reineberg, Andrew E.; Thompson, Lee A.; Willcutt, Erik G.; Cutting, Laurie E.; Petrill, Stephen A. – Mind, Brain, and Education, 2023
This paper reviews three studies investigating the relationship between brain regions involved in executive control and those involved in reading comprehension in typically-developing teens. In the first study, three regions of posterior left lateral prefrontal cortex (i.e., precentral gyrus, inferior frontal junction, inferior frontal gyrus) were…
Descriptors: Correlation, Brain Hemisphere Functions, Executive Function, Reading Comprehension
Hoeben Mannaert, Lara; Dijkstra, Katinka – International Journal of Behavioral Development, 2021
Over the past decade or so, developments in language comprehension research in the domain of cognitive aging have converged on support for resilience in older adults with regard to situation model updating when reading texts. Several studies have shown that even though age-related declines in language comprehension appear at the level of the…
Descriptors: Young Adults, Older Adults, Language Processing, Resilience (Psychology)
Allen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
McNamara, Danielle S. – Grantee Submission, 2021
An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…
Descriptors: Educational Research, Reading Comprehension, Difficulty Level, Educational Technology
Glazzard, Jonathan – English in Education, 2017
The purpose of this article is to question the suitability of the phonics screening check in relation to models and theories of reading development. The article questions the appropriateness of the check by drawing on theoretical frameworks which underpin typical reading development. I examine the Simple View of Reading developed by Gough and…
Descriptors: Phonics, Foreign Countries, Sequential Learning, Reading Skills
Keating, Gregory D.; Jegerski, Jill – Studies in Second Language Acquisition, 2015
Since the publication of Clahsen and Felser's (2006) keynote article on grammatical processing in language learners, the online study of sentence comprehension in adult second language (L2) learners has quickly grown into a vibrant and prolific subfield of SLA. As online methods begin to establish a foothold in SLA research, it is important…
Descriptors: Language Processing, Language Research, Second Language Learning, Grammar
Zashchitina, Galina; Moysyak, Natalia – Bulgarian Comparative Education Society, 2017
The article focuses on defining how background knowledge impacts on second-language acquisition by giving a brief overview of schema theory, the interaction of the basic modes of information processing. A challenge of dealing with culturally specific texts in second language acquisition is also touched upon. Different research-supported views on…
Descriptors: Prior Learning, Second Language Learning, Second Language Instruction, Cultural Awareness
Johnson, Amy M.; McCarthy, Kathryn S.; Kopp, Kristopher J.; Perret, Cecile A.; McNamara, Danielle S. – Grantee Submission, 2017
Intelligent tutoring systems for ill-defined domains, such as reading and writing, are critically needed, yet uncommon. Two such systems, the Interactive Strategy Training for Active Reading and Thinking (iSTART) and Writing Pal (W-Pal) use natural language processing (NLP) to assess learners' written (i.e., typed) responses and provide immediate,…
Descriptors: Reading Instruction, Writing Instruction, Intelligent Tutoring Systems, Reading Strategies
Rapp, Brenda; Lipka, Kate – Journal of Cognitive Neuroscience, 2011
We report the results of an fMRI investigation of the neural bases of written language comprehension (reading) and production (spelling). Both tasks were examined in the same individuals, allowing greater precision in establishing the relationship between the neural underpinnings of these two cognitive functions. Also examined was the relationship…
Descriptors: Reading Comprehension, Spelling, Brain Hemisphere Functions, Written Language
Emmorey, Karen; Petrich, Jennifer A. F. – Journal of Deaf Studies and Deaf Education, 2012
Two lexical decision experiments are reported that investigate whether the same segmentation strategies are used for reading printed English words and fingerspelled words (in American Sign Language). Experiment 1 revealed that both deaf and hearing readers performed better when written words were segmented with respect to an orthographically…
Descriptors: Deafness, Adults, Language Processing, Written Language
Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2017
In this chapter, we describe several intelligent tutoring systems (ITSs) designed to support student literacy through reading comprehension and writing instruction and practice. Although adaptive instruction can be a powerful tool in the literacy domain, developing these technologies poses significant challenges. For example, evaluating the…
Descriptors: Intelligent Tutoring Systems, Literacy Education, Educational Technology, Technology Uses in Education
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – International Journal of Artificial Intelligence in Education, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
Powers, Chivon; Bencic, Rachel; Horton, William S.; Beeman, Mark – Neuropsychologia, 2012
In this study we examined asymmetric semantic activation patterns as people listened to conversations and narratives that promoted causal inferences. Based on the hypothesis that understanding the unique features of conversational input may benefit from or require a modified pattern of conceptual activation during conversation, we compared…
Descriptors: Language Processing, Semantics, Priming, Speech Communication
Brown, Kevin – CEA Forum, 2015
In this article, the author describes his project to take every standardized exam English majors students take. During the summer and fall semesters of 2012, the author signed up for and took the GRE General Test, the Praxis Content Area Exam (English Language, Literature, and Composition: Content Knowledge), the Senior Major Field Tests in…
Descriptors: College Faculty, College English, Test Preparation, Standardized Tests