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Potter, Andrew; Wilson, Joshua; Roscoe, Rod D.; Arner, Tracy; McNamara, Danielle S. – Grantee Submission, 2023
This chapter provides an overview of research in computer-based writing instruction (CBWI). CBWI may entail any type of writing instruction with computers and may refer specifically to technologies that provide computer-generated feedback and instruction. The purpose of CBWI is to support students in improving their written products and writing…
Descriptors: Computer Assisted Instruction, Writing Instruction, Feedback (Response), Writing Improvement
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Kendeou, Panayiota; McMaster, Kristen L.; McNamara, Danielle S.; Wilke, Bess Casey – Grantee Submission, 2023
This chapter offers an integrated review and discussion of the major advances in theory and practice in the area of literacy, with particular focus on the work since 2014 onward. For the purposes of this review, it approaches Literacy as the ability to read and write. For reading, the chapter highlights theoretical advances that expand the view of…
Descriptors: Literacy, Reading Ability, Writing Ability, Prior Learning
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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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Nicula, Bogdan; Panaite, Marilena; Arner, Tracy; Balyan, Renu; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2023
Self-explanation practice is an effective method to support students in better understanding complex texts. This study focuses on automatically assessing the comprehension strategies employed by readers while understanding STEM texts. Data from 3 datasets (N = 11,833) with self-explanations annotated on different comprehension strategies (i.e.,…
Descriptors: Reading Strategies, Reading Comprehension, Metacognition, STEM Education
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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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Corlatescu, Dragos; Watanabe, Micah; Ruseti, Stefan; Dascalu, Mihai; McNamara, Danielle S. – 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
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Fang, Ying; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2023
Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Evaluation Methods
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Fang, Ying; Li, Tong; Huynh, Linh; Christhilf, Katerina; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2023
Literacy assessment is essential for effective literacy instruction and training. However, traditional paper-based literacy assessments are typically decontextualized and may cause stress and anxiety for test takers. In contrast, serious games and game environments allow for the assessment of literacy in more authentic and engaging ways, which has…
Descriptors: Literacy, Student Evaluation, Educational Games, Literacy Education
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Allen, Laura K.; Grasser, Arthur C.; McNamara, Danielle S. – Grantee Submission, 2023
Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…
Descriptors: Psychological Studies, Natural Language Processing, Automation, Research Methodology
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Tighe, Elizabeth L.; Kaldes, Gal; McNamara, Danielle S. – Grantee Submission, 2023
Inferencing skills uniquely contribute to the reading comprehension skills of older grade-school and college students. Evidence also suggests that children's reading component skills, such as decoding and language comprehension, differentially contribute to various reading comprehension assessments. However, additional research is needed to…
Descriptors: Inferences, Reading Comprehension, Vocabulary Development, Morphology (Languages)
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Roscoe, Rod D.; Balyan, Renu; McNamara, Danielle S.; Banawan, Michelle; Schillinger, Dean – Grantee Submission, 2023
Modern communication between health care professionals and patients increasingly relies upon secure messages (SMs) exchanged through an electronic patient portal. Despite the convenience of secure messaging, challenges include gaps between physician and patient expertise along with the asynchronous nature of such communication. Importantly, less…
Descriptors: Readability, Physician Patient Relationship, Computer Mediated Communication, Asynchronous Communication
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Nicula, Bogdan; Dascalu, Mihai; Arner, Tracy; Balyan, Renu; McNamara, Danielle S. – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education
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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
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Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2023
Past research on knowledge has differentiated between dimensions (e.g., amount, accuracy, specificity, coherence) of knowledge. This paper introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on fundamental human needs (e.g., physical safety, affiliation, actualization, reproduction). Adults in the…
Descriptors: Homeless People, Individual Needs, Knowledge Level, Prior Learning
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
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