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Showing 1 to 15 of 90 results Save | Export
Sarah Lindstrom Johnson; Ana Maria Meléndez Guevara; Ashley Preves – Grantee Submission, 2023
Introduction: Research suggests that one of the most pervasive consequences of traumatic events is the resulting dysregulation of emotions. Educators, including teachers, administrators, and student services staff, are instrumental in supporting students as they navigate overwhelming emotions by modeling and teaching skills to regulate emotional…
Descriptors: Teachers, Self Efficacy, Emotional Response, Self Management
Edgar C. Merkle; Oludare Ariyo; Sonja D. Winter; Mauricio Garnier-Villarreal – Grantee Submission, 2023
We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…
Descriptors: Models, Bayesian Statistics, Correlation, Evaluation Methods
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Robin Clausen – Grantee Submission, 2024
Alternative poverty measures have been proposed in response to the emerging insufficiencies of the National School Lunch Program (NSLP) eligibility data. The analysis presented here involves seven poverty measures. Using outcome measures as a yardstick, we can assess how poverty measures explain these outcomes and note variations between…
Descriptors: Economically Disadvantaged, Outcomes of Education, Poverty, Lunch Programs
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Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
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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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Jake C. Steggerda; Timothy A. Cavell; Juliann H. Nicholson; Alison L. Drew; Carla Herrera; Debby Gaffney; Amy M. Smith Slep; Michael F. Lorber; Renée Spencer – Grantee Submission, 2024
Tools that assess school supports for highly mobile, military-connected students are lacking. This study describes the development and preliminary validation of the Inventory of School Supports-Parent Report (ISS-PR). Participants were 433 parents (74% female; 62.5% White, 12% Black, 6.5% Asian, 5.5% Pacific Islander, 4% Native American, and 9.5%…
Descriptors: Military Personnel, Test Construction, Parent Attitudes, Parent School Relationship
James L. Merle; Clayton R. Cook; Jill J. Locke; Mark G. Ehrhart; Eric C. Brown; Chayna J. Davis; Aaron R. Lyon – Grantee Submission, 2023
Background: The Evidence-Based Practice Attitudes Scale (EBPAS) is widely used in implementation research, but it has not been adapted and validated for use among general education teachers, who are most likely to deliver evidence-based prevention programs in schools, the most common setting where youth access social, emotional, and behavioral…
Descriptors: Teacher Attitudes, Evidence Based Practice, Attitude Measures, Elementary School Teachers
Alexander Alperin; Christopher M. Dudek; Linda A. Reddy; Todd A. Glover; Nicole B. Wiggs; Briana Bronstein – Grantee Submission, 2023
Systematic direct observations (SDOs) and behavior rating scales are integral to multimethod behavioral assessment approaches. The present study investigated the convergent validity of the Behavior Observation of Students in Schools (BOSS) form, a widely utilized SDO system, with the most frequently used teacher rating scales in schools, the…
Descriptors: Elementary School Teachers, Elementary School Students, At Risk Students, Behavior Disorders
Pentimonti, Jill M.; Bowles, Ryan P.; Zucker, Tricia A.; Tambyraja, Sherine R.; Justice, Laura M. – Grantee Submission, 2021
Measuring the quality of classroom-based interactive shared book reading within the early childhood classroom represents a specific dimension of teacher-child interactions that is of great interest to researchers. This interest reflects decades of research demonstrating the benefit of reading to young children in both the home and the classroom.…
Descriptors: Standardized Tests, Test Construction, Construct Validity, Predictive Validity
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David A. Klingbeil; Ethan R. Van Norman; Peter M. Nelson; David C. Parker; Patrick Kaiser; Monica L. Vidal; Angelos Ntais; Zhuanghan Dong; Kirsten Truman – Grantee Submission, 2024
Text reading fluency (TRF) is a common reading intervention target in second and third grade. TRF requires the integration of several skills that result in several pathways to dysfluent reading. However, when applying the drill-down approach to intervention targeting, practitioners are guided to consider students' rate and accuracy when reading…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 2, Grade 3
Fansher, Madison; Adkins, Tyler J.; Shah, Priti – Grantee Submission, 2022
Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…
Descriptors: Graphs, Correlation, Visual Aids, News Reporting
Peer reviewed Peer reviewed
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Cassondra M. Eng; Aria Tsegai-Moore; Anna V. Fisher – Grantee Submission, 2024
Computerized assessments and digital games have become more prevalent in childhood, necessitating a systematic investigation of the effects of gamified executive function assessments on performance and engagement. This study examined the feasibility of incorporating gamification and a machine learning algorithm that adapts task difficulty to…
Descriptors: Preschool Children, Preschool Curriculum, Preschool Education, Preschool Tests
Keller-Margulis, Milena A.; Mercer, Sterett H.; Matta, Michael – Grantee Submission, 2021
Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…
Descriptors: Writing Evaluation, Validity, Automation, Curriculum Based Assessment
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Kristin Michod Gagnier; Steven J. Holochwost; Melissa Ceren; Kelly R. Fisher – Grantee Submission, 2024
American students continue to perform poorly on national and international assessments of Science, Technology, Engineering, and Mathematics (STEM) competencies, and achievement gaps spanning racial/ethnic and socioeconomic lines emerge early and widen over time. Scholars and practitioners agree that expanding access to high-quality STEM education…
Descriptors: Elementary School Students, STEM Education, Disproportionate Representation, Scientific Attitudes
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
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