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Seifert, Colleen M.; Harrington, Michael; Michal, Audrey L.; Shah, Priti – Grantee Submission, 2022
When reasoning about science studies, people often make "causal theory errors" by inferring or accepting a causal claim based on correlational evidence. While humans naturally think in terms of causal relationships, reasoning about science findings requires understanding how evidence supports--or fails to support--a causal claim. This…
Descriptors: College Students, Comprehension, Attribution Theory, Logical Thinking
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Matthew T. McCrudden; Linh Huynh; Bailing Lyu; Jonna M. Kulikowich; Danielle S. McNamara – Grantee Submission, 2024
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…
Descriptors: Reading Processes, Reading Comprehension, Undergraduate Students, Evolution
Scott P. Ardoin; Katherine S. Binder; Paulina A. Kulesz; Eloise Nimocks; Joshua A. Mellott – Grantee Submission, 2024
Understanding test-taking strategies (TTSs) and the variables that influence TTSs is crucial to understanding what reading comprehension tests measure. We examined how passage and student characteristics were associated with TTSs and their impact on response accuracy. Third (n = 78), fifth (n = 86), and eighth (n = 86) graders read and answered…
Descriptors: Test Wiseness, Eye Movements, Reading Comprehension, Reading Tests
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Virginia Clinton-Lisell; Sarah E. Carlson; Heather Ness-Maddox; Amanda Dahl; Terrill Taylor; Mark L. Davison; Ben Seipel – Grantee Submission, 2024
The purpose of this study was to examine clusters of less-skilled college readers. College students with below average reading comprehension skills (N = 77) read and thought aloud about four texts, recalled the texts, and completed standardized assessments of reading skills. Based on the findings of cluster analyses of the cognitive processes…
Descriptors: Vocabulary, Reading Comprehension, Reading Tests, Reading Skills
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Young-Suk Grace Kim – Grantee Submission, 2023
We examined the dimensionality of oral discourse skills (comprehension and retell of texts) and the relations of language and cognitive skills to the identified dimensions. Data were from 529 English-speaking second graders (M[subscript age] = 7.42; 46% female; 52.6% Whites, 33.8% African Americans, 4.9% Hispanics, 4.7% two or more races, 0.8%…
Descriptors: Oral Language, Communication Skills, Language Skills, Thinking Skills
Anna E. Mason; Jason L. G. Braasch; Daphne Greenberg; Erica D. Kessler; Laura K. Allen; Danielle S. McNamara – Grantee Submission, 2022
This study examined the extent to which prior beliefs and reading instructions impacted elements of a reader's mental representation of multiple texts. College students' beliefs about childhood vaccinations were assessed before reading two anti-vaccine and two pro-vaccine texts. Participants in the experimental condition read for the purpose of…
Descriptors: College Students, Beliefs, Immunization Programs, Vocabulary
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Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
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Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Alena G. Esposito; Patricia J. Bauer – Grantee Submission, 2022
Children are on a quest for knowledge. To achieve it, children must integrate separate but related episodes of learning. The theoretical model of memory integration posits that the process is supported by component cognitive abilities. In turn, memory integration predicts accumulation of a knowledge base. We tested this model in two studies (data…
Descriptors: Elementary School Students, Academic Achievement, Cognitive Ability, Memory
John Hollander; John Sabatini; Art Graesser – Grantee Submission, 2022
AutoTutor-ARC (adult reading comprehension) is an intelligent tutoring system that uses conversational agents to help adult learners improve their comprehension skills. However, in such a system, not all lessons and items optimally serve the same purposes. In this paper, we describe a method for classifying items that are "instructive,…
Descriptors: Intelligent Tutoring Systems, Reading Skills, Psychometrics, Reading Comprehension
Butterfuss, Reese; Kendeou, Panayiota – Grantee Submission, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2021
Prior knowledge is one of the strongest contributors to comprehension, but there is little specificity about different aspects of prior knowledge and how they impact comprehension. This article introduces the Multidimensional Knowledge in Text Comprehension framework, which conceptualizes prior knowledge along four intersecting dimensions: amount,…
Descriptors: Reading Comprehension, Prior Learning, Knowledge Level, Accuracy
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Kiana Hines; Carla Wood; Keisey Fumero – Grantee Submission, 2023
School-aged English Learners (ELs) are faced with the challenging task of acquiring a foreign language while simultaneously reading academically demanding literature. Therefore, the current research aimed to examine the relation between the rate of grammatical tense marking errors made by ELs and their performance on measures of reading…
Descriptors: English Language Learners, Grammar, Morphemes, Error Patterns
Young Suk Kim; Yaacov Petscher – Grantee Submission, 2023
It is widely recognized that individuals with dyslexia have difficulties with word reading "and" spelling, and individuals with reading comprehension difficulties have low vocabulary knowledge. However, little is known about the extent to which spelling and vocabulary are informative of reading difficulties. In the present study, we…
Descriptors: Dyslexia, Reading Difficulties, Reading Comprehension, Spelling
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