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Daniel P. Feller; Amani Talwar; Daphne Greenberg; Ryan D. Kopatich; Joseph P. Magliano – Grantee Submission, 2023
Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…
Descriptors: Correlation, Word Recognition, Reading Comprehension, Reading Processes
Crosson, Amy C.; McKeown, Margaret G.; Moore, Debra W.; Ye, Feifei – Grantee Submission, 2019
This study investigated the hypothesis that academic vocabulary instruction infused with morphological analysis of bound Latin roots--such as analysis of the relation between innovative and its bound root, nov (meaning "new")--will enhance word learning outcomes for English Learner (EL) adolescents. Latinate words with bound roots…
Descriptors: Morphology (Languages), Academic Language, Vocabulary Development, Latin
Hadley, Elizabeth B.; Dickinson, David K.; Hirsh-Pasek, Kathy; Golinkoff, Roberta Michnick – Grantee Submission, 2018
In this study, the authors examined the impact of a vocabulary intervention designed to support vocabulary depth, or the building of semantic networks, in preschool children (n = 30). The authors further investigated the effect of specific instructional strategies on growth in vocabulary depth. The intervention employed shared book reading and…
Descriptors: Semantics, Networks, Vocabulary Development, Taxonomy
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Crosson, Amy C.; McKeown, Margaret G.; Robbins, Kelly P.; Brown, Kathleen J. – Grantee Submission, 2019
Purpose: In this clinical focus, the authors argue for robust vocabulary instruction with emergent bilingual learners both in inclusive classroom settings and in clinical settings for emergent bilinguals with language and literacy disorders. Robust vocabulary instruction focuses on high-utility academic words that carry abstract meanings and…
Descriptors: Vocabulary Development, Bilingualism, Inclusion, Teaching Methods
Connor, Carol McDonald; Phillips, Beth M.; Kim, Young-Suk Grace; Lonigan, Christopher J.; Kaschak, Michael P.; Crowe, Elizabeth; Dombek, Jennifer; Al Otaiba, Stephanie – Grantee Submission, 2018
Testing a component model of reading comprehension in a randomized controlled trial, we evaluated the efficacy of 4 interventions that were designed to target components of language and metacognition that predict children's reading comprehension: vocabulary, listening comprehension, comprehension of literate language, academic knowledge, and…
Descriptors: Reading Comprehension, Intervention, Elementary School Students, Metacognition
Beach, Kristen D.; Sanchez, Victoria M.; Flynn, Lindsay; O'Connor, Rollanda E. – Grantee Submission, 2015
Knowing the meaning of academic vocabulary words helps adolescents understand content-area text and improves their academic achievement. To demonstrate deep understanding of words, students reading below grade level and students with learning disabilities must be explicitly taught word meanings, encounter target words in illustrative contexts, and…
Descriptors: History Instruction, Vocabulary Development, Adolescents, Learning Disabilities
Adlof, Suzanne; Frishkoff, Gwen; Dandy, Jennifer; Perfetti, Charles – Grantee Submission, 2016
Word learning can build the high-quality word representations that support skilled reading and language comprehension. According to the partial knowledge hypothesis, words that are partially known, a.k.a. "frontier words" (Durso & Shore, 1991), may be good targets for instruction precisely because they are already familiar. However,…
Descriptors: Semantics, Familiarity, Adults, Children
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