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McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2023
When students learn, they activate, use, revise, and acquire knowledge. As such, knowledge is a fundamental asset. We advocate for an asset-based approach which capitalizes on students' knowledge through prompts and activities that invite learners to leverage what they already know. Considering knowledge as an asset means that educators must…
Descriptors: Epistemology, Definitions, Prompting, Learning Activities
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McNamara, Danielle S.; Newton, Natalie; Christhilf, Katerina; McCarthy, Kathryn S.; Magliano, Joseph P.; Allen, Laura K. – Grantee Submission, 2023
Analyzing constructed responses, such as think-alouds or self-explanations, can reveal valuable information about readers' comprehension strategies. The current study expands on the extant work by (1) investigating combinations and patterns of comprehension strategies that readers use and (2) examining the extent to which these patterns relate to…
Descriptors: Metacognition, Reading Comprehension, Inferences, Reading Strategies
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McNamara, Danielle S.; Watanabe, Micah; Huynh, Linh; McCarthy, Kathryn S.; Allen, Larua K.; Magliano, Joseph P. – Grantee Submission, 2023
Writing an integrated essay based on multiple-documents requires students to both comprehend the documents and integrate the documents into a coherent essay. In the current study, we examined the effects of summarization as a potential reading strategy to enhance participants' multiple-document comprehension and integrated essay writing.…
Descriptors: Reading Strategies, Reading Comprehension, Essays, Scores
Sonia, Allison N.; Joseph, Magliano P.; McCarthy, Kathryn S.; Creer, Sarah D.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2022
The constructed responses individuals generate while reading can provide insights into their coherence-building processes. The current study examined how the cohesion of constructed responses relates to performance on an integrated writing task. Participants (N = 95) completed a multiple document reading task wherein they were prompted to think…
Descriptors: Natural Language Processing, Connected Discourse, Reading Processes, Writing Skills
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
Flynn, Lauren E.; McNamara, Danielle S.; McCarthy, Kathryn S.; Magliano, Joseph P.; Allen, Laura K. – Grantee Submission, 2021
Successful text comprehension requires readers to engage in a number of coherence-building processes. This study examined how analyzing the cohesion of students 'constructed responses can be used to evaluate these coherence-building processes and the extent to which they vary across readers' individual differences and across types of texts. We…
Descriptors: Reading Comprehension, Individual Differences, Protocol Analysis, Literary Genres
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Allen, Laura Kristen; Magliano, Joseph P.; McCarthy, Kathryn S.; Sonia, Allison N.; Creer, Sarah D.; McNamara, Danielle S. – Grantee Submission, 2021
The current study examined the extent to which the cohesion detected in readers' constructed responses to multiple documents was predictive of persuasive, source-based essay quality. Participants (N=95) completed multiple-documents reading tasks wherein they were prompted to think-aloud, self-explain, or evaluate the sources while reading a set of…
Descriptors: Reading Comprehension, Connected Discourse, Reader Response, Natural Language Processing
Wang, Zuowei; O'Reilly, Tenaha; Sabatini, John; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2021
We compared high school students' performance in a traditional comprehension assessment requiring them to identify key information and draw inferences from single texts, and a scenario-based assessment (SBA) requiring them to integrate, evaluate and apply information across multiple sources. Both assessments focused on a non-academic topic.…
Descriptors: Comparative Analysis, High School Students, Inferences, Reading Tests
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McCarthy, Kathryn S.; Magliano, Joseph P.; Snyder, Jacob O.; Kenney, Elizabeth A.; Newton, Natalie N.; Perret, Cecile A.; Knezevic, Melanie; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2021
The objective in the current paper is to examine the processes of how our research team negotiated meaning using an iterative design approach as we established, developed, and refined a rubric to capture comprehension processes and strategies evident in students' verbal protocols. The overarching project comprises multiple data sets, multiple…
Descriptors: Scoring Rubrics, Interrater Reliability, Design, Learning Processes
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
McCarthy, Kathryn S.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2020
The Design Implementation Framework, or DIF, is a design approach that evaluates learner and user experience at multiple points in the development of intelligent tutoring systems. In this chapter, we explore how DIF was used to make system modifications to iSTART, a game-based intelligent tutoring system for reading comprehension. Using DIF as a…
Descriptors: Intelligent Tutoring Systems, Reading Comprehension, Educational Games, Program Development
McCarthy, Kathryn S.; Allen, Laura K.; Hinze, Scott R. – Grantee Submission, 2020
Open-ended "constructed responses" promote deeper processing of course materials. Further, evaluation of these explanations can yield important information about students' cognition. This study examined how students' constructed responses, generated at different points during learning, relate to their later comprehension outcomes.…
Descriptors: Reading Comprehension, Prediction, Responses, College Students
McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Grantee Submission, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
McNamara, Danielle S.; Roscoe, Rod; Allen, Laura; Balyan, Renu; McCarthy, Kathryn S. – Grantee Submission, 2019
Literacy is a critically important and contemporary issue for educators, scientists, and politicians. Efforts to overcome the challenges associated with illiteracy, and the subsequent development of literate societies, are closely related to those of poverty reduction and sustainable human development. In this paper, the authors examine literacy…
Descriptors: Literacy, Reading Comprehension, Language Processing, Discourse Analysis
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McCarthy, Kathryn S.; Roscoe, Rod D.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2019
This study investigated the effect of incorporating spelling and grammar checking tools within an automated writing tutoring system, Writing Pal. High school students (n = 119) wrote and revised six persuasive essays. After initial drafts, all students received formative feedback about writing strategies. Half of the participants were also given…
Descriptors: Spelling, Grammar, Automation, Writing Instruction
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