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McNamara, Danielle S. – Discourse Processes: A Multidisciplinary Journal, 2021
This article provides a commentary within the special issue, Integration: The Keystone of Comprehension. According to most contemporary frameworks, a driving force in comprehension is the reader's ability to generate the links among the words and sentences (ideas) in the texts and between the ideas in the text and what the readers already know. As…
Descriptors: Inferences, Language Processing, Reading Comprehension, Reading Research
McNamara, Danielle S. – Grantee Submission, 2020
This article provides a commentary within the special issue, Integration: The Keystone of Comprehension. According to most contemporary frameworks, a driving force in comprehension is the reader's ability to generate the links among the words and sentences (ideas) in the texts and between the ideas in the text and what the readers already know. As…
Descriptors: Inferences, Language Processing, Reading Comprehension, Reading Research
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
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
McNamara, Danielle S.; Jacovina, Matthew; Allen, Laura K. – AERA Online Paper Repository, 2016
Within the context of comprehension and education, there has been a heavy emphasis placed on an individual's ability to construct a coherent and elaborated mental representation of text content. Previous research has aimed to establish the theoretical basis behind the comprehension process, as well as the most effective interventions for improving…
Descriptors: Individual Differences, Thinking Skills, Reading Comprehension, Cognitive Processes
Snow, Erica L.; Jackson, G. Tanner; Varner, Laura K.; McNamara, Danielle S. – Grantee Submission, 2013
Research on individual differences indicates that students vary in how they interact with and perform while using intelligent tutoring systems (ITSs). However, less research has investigated how individual differences affect students' interactions with game-based features. This study examines how learning outcomes and interactions with specific…
Descriptors: Individual Differences, Academic Achievement, Intelligent Tutoring Systems, Educational Games
Allen, Laura K.; Mills, Caitlin; Jacovina, Matthew E.; Crossley, Scott; D'Mello, Sidney; McNamara, Danielle S. – Grantee Submission, 2016
Writing training systems have been developed to provide students with instruction and deliberate practice on their writing. Although generally successful in providing accurate scores, a common criticism of these systems is their lack of personalization and adaptive instruction. In particular, these systems tend to place the strongest emphasis on…
Descriptors: Learner Engagement, Psychological Patterns, Writing Instruction, Essays
Weston, Jennifer L.; McNamara, Danielle S. – Grantee Submission, 2013
Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…
Descriptors: Intelligent Tutoring Systems, Hierarchical Linear Modeling, Correlation, Writing Instruction
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2016
A commonly held belief among educators, researchers, and students is that high-quality texts are easier to read than low-quality texts, as they contain more engaging narrative and story-like elements. Interestingly, these assumptions have typically failed to be supported by the literature on writing. Previous research suggests that higher quality…
Descriptors: Role, Writing (Composition), Natural Language Processing, Hypothesis Testing
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Psychology, 2016
A commonly held belief among educators, researchers, and students is that high-quality texts are easier to read than low-quality texts, as they contain more engaging narrative and story-like elements. Interestingly, these assumptions have typically failed to be supported by the literature on writing. Previous research suggests that higher quality…
Descriptors: Role, Writing (Composition), Natural Language Processing, Hypothesis Testing
Higgs, Karyn; Magliano, Joseph P.; Vidal-Abarca, Eduardo; Martínez, Tomas; McNamara, Danielle S. – Grantee Submission, 2015
Some individual difference factors are more strongly correlated with performance on postreading questions when the text is not available than when it is. The present study explores if similar interactions occur with bridging skill, which refers to a reader's propensity to establish connections between explicit text during reading. Undergraduates…
Descriptors: Correlation, Individual Differences, Undergraduate Students, Reading Processes
Snow, Erica L.; Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2014
Self-regulative behaviors are dynamic and evolve as a function of time and context. However, dynamical fluctuations in behaviors are often difficult to measure and therefore may not be fully captured by traditional measures alone. Utilizing system log data and two novel statistical methodologies, this study examined emergent patterns of controlled…
Descriptors: Educational Technology, Computer Uses in Education, Educational Games, Intelligent Tutoring Systems
Jackson, G. Tanner; Varner, Laura K.; Boonthum-Denecke, Chutima; McNamara, Danielle S. – Grantee Submission, 2013
Educational games have the potential to provide motivating, effective training; however, the efficacy of these systems is unclear, and evaluations often fail to identify the relative impact of individual differences on learning outcomes. The current study aims to address these issues by comparing the learning gains from an educational game…
Descriptors: Educational Games, Intelligent Tutoring Systems, Program Effectiveness, High School Students
Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; Crossley, Scott A.; Perret, Cecile A.; McNamara, Danielle S. – Journal of Learning Analytics, 2015
Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers and educators, there is little empirical research to support this claim. This study…
Descriptors: Writing (Composition), Writing Strategies, Hypothesis Testing, Essays
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