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Huscroft-D'Angelo, Jacqueline; Duppong Hurley, Kristin; Lambert, Matthew; Trout, Alexandra – Grantee Submission, 2018
Parent empowerment involves the ability of caregivers to meet the needs of their family while maintaining feelings of control and is particularly important for families of children at-risk. It is necessary to establish reliable and valid tools to measure parent empowerment. The purpose of this study was to examine the internal factor structure,…
Descriptors: Factor Structure, Test Validity, Measures (Individuals), Likert Scales
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Zhang, Haoran; Litman, Diane – Grantee Submission, 2018
This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring. We use a co-attention mechanism to help the model learn the importance of each part of the essay more accurately. Also, this paper shows that the co-attention based neural network model provides reliable score prediction of…
Descriptors: Essays, Scoring, Automation, Artificial Intelligence
Wiley, Jennifer; Jaeger, Allison J.; Griffin, Thomas D. – Grantee Submission, 2018
Starting with early research on multiple source comprehension that primarily emerged from work in history, researchers have explored several types of instructional manipulations including altering the features of the inquiry task that is given (such as being asked to write a narrative or an argument); changing features of the task environment…
Descriptors: Information Sources, Task Analysis, History Instruction, Science Instruction
Grimm, Ryan P.; Solari, Emily J.; McIntyre, Nancy S.; Denton, Carolyn A. – Grantee Submission, 2018
This study identified distinct, homogeneous latent profiles of at-risk (n = 141) and not at-risk (n = 149) first grade readers. Separate latent profile analyses were conducted with each subgroup using measures of phonological awareness, decoding, linguistic comprehension, and oral reading fluency. This study also examined which measures best…
Descriptors: Elementary School Students, At Risk Students, Grade 1, Reading Skills
Jamieson, Jeremy P.; Crum, Alia J.; Goyer, J. Parker; Marotta, Marisa E.; Akinola, Modupe – Grantee Submission, 2018
Background: The dominant perspective in society is that stress has negative consequences, and not surprisingly, the vast majority of interventions for coping with stress focus on reducing the frequency or severity of stressors. However, the effectiveness of stress attenuation is limited because it is often not possible to avoid stressors, and…
Descriptors: Stress Management, Stress Variables, Coping, Literature Reviews
Dowdy, Erin; Furlong, Michael J.; Nylund-Gibson, Karen; Moore, Stephanie; Moffa, Kathryn – Grantee Submission, 2018
Contemporary mental health assessment conceptualizations focus on both well-being and distress. This study presents initial validation information for the "Social Emotional Distress Survey--Secondary" (SEDS-S), which was designed for school-based complete mental health screening that employs brief self-report measures of well-being and…
Descriptors: Test Validity, Screening Tests, Well Being, Mental Health
Jamieson, Jeremy P.; Hangen, Emily J.; Lee, Hae Yeon; Yeager, David S. – Grantee Submission, 2018
Regulating affective responses to acute stress has the potential to improve health, performance, and well-being outcomes. Using the biopsychosocial (BPS) model of challenge and threat as an organizing framework, we review how appraisals inform affective responses and highlight research that demonstrates how appraisals can be used as regulatory…
Descriptors: Stress Variables, Stress Management, Arousal Patterns, Coping
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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2018
While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…
Descriptors: Artificial Intelligence, Classification, Comparative Analysis, Prediction
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Likens, Aaron D.; McCarthy, Kathryn S.; Allen, Laura K.; McNamara, Danielle D. – Grantee Submission, 2018
Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school…
Descriptors: Reading Comprehension, High School Students, Content Area Reading, Sciences
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McCarthy, Kathryn S.; Likens, Aaron D.; Kopp, Kristopher K.; Perret, Cecile A.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2018
The current study explored relations between non-cognitive traits (Grit, Learning Orientation, Performance Orientation), reading skill, and performance across three experiments conducted in the context of two intelligent tutoring systems, iSTART and Writing Pal. Results showed that learning outcomes (comprehension score, holistic essay score) were…
Descriptors: Persistence, Individual Characteristics, Reading Skills, Performance
Davenport, Jodi L.; Rafferty, Anna N.; Yaron, David J. – Grantee Submission, 2018
How can we help students develop an understanding of chemistry that integrates conceptual knowledge with the experimental and computational procedures needed to apply chemistry in authentic contexts? The current work describes ChemVLab +, a set of online chemistry activities that were developed using promising design principles from chemistry…
Descriptors: Science Instruction, Chemistry, Science Laboratories, Educational Technology
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Sibuma, Bernadette; Wunnava, Susmitha; John, Melissa-Sue; Anggoro, Florencia; Dubosarsky, Mia – Grantee Submission, 2018
This paper reports a pilot study to determine the potential impact of an integrated STEM curriculum on Pre-K teachers' engineering content knowledge, self-efficacy and teaching practice. Using a randomized control trial design, researchers examined the impact of the curriculum in 17 Pre-K classrooms (8 intervention classrooms, 9 control…
Descriptors: STEM Education, Preschool Teachers, Pedagogical Content Knowledge, Self Efficacy
Dai, Ting; Van Boekel, Martin; Cromley, Jennifer; Nelson, Frank; Fechter, Tia – Grantee Submission, 2018
This case study describes how our research team conducted the qualitative think-aloud approach (or cognitive pretesting) to obtaining cognitive validity evidence for a biology inference-making and reasoning measure for undergraduate students. The main goal of our work was to gather high-quality student think-aloud data of reasoning while they were…
Descriptors: Biology, Science Instruction, Problem Solving, Teaching Methods
Hanselman, Paul – Grantee Submission, 2018
Are equal educational opportunities sufficient to narrow long-standing economic and racial inequalities in achievement? In this paper, I test the hypothesis that poor and minority students benefit less from effective elementary school teachers than their non-poor and White peers, thus exacerbating inequalities. I use administrative data from…
Descriptors: Educational Opportunities, Equal Education, Low Income Students, Minority Group Students
Burke, Kathryn M.; Shogren, Karrie A.; Raley, Sheida K.; Wehmeyer, Michael L.; Antosh, A. Anthony; LaPlante, Terri – Grantee Submission, 2018
Implementation science examines the process of how programs are put into action to produce outcomes and represents an emerging approach for analyzing the utilization of evidence-based practices (EBPs) in school settings. When EBPs are implemented effectively, they result in positive student outcomes. The "Self-Determined Learning Model of…
Descriptors: Evidence Based Practice, Self Determination, Teaching Methods, Models
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