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Direct linkTiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
Download full textChristine M. White; Christopher Schatschneider – Grantee Submission, 2023
Universal screening to predict students' risk for reading problems is a foundational component of the Multi-Tiered Systems of Support framework and is required by law in many US states. School or district administrators are tasked with selecting screening assessments that are both technically adequate and feasible given the resources of their…
Descriptors: Screening Tests, Reading Tests, Reading Difficulties, Classification
Gary A. Troia; Frank R. Lawrence; Julie S. Brehmer; Kaitlin Glause; Heather L. Reichmuth – Grantee Submission, 2023
Much of the research that has examined the writing knowledge of school-age students has relied on interviews to ascertain this information, which is problematic because interviews may underestimate breadth and depth of writing knowledge, require lengthy interactions with participants, and do not permit a direct evaluation of a prescribed array of…
Descriptors: Writing Tests, Writing Evaluation, Knowledge Level, Elementary School Students
Sutherland, Marah; Clarke, Ben; Nese, Joseph F. T.; Cary, Mari Strand; Shanley, Lina; Furjanic, David; Durán, Lillian – Grantee Submission, 2020
Drawing from the developmental and cognitive mathematics literature, the purpose of this study was to investigate the reliability, validity, and diagnostic utility of a widely-researched number line task in kindergarten. Specifically, the Number Line Assessment 0-100 (NLA 0-100) as compared to an established kindergarten screening measure was…
Descriptors: Mathematics Tests, Screening Tests, Test Reliability, Test Validity
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
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
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
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Forzani, Elena; Leu, Donald J.; Li, Eva Yujia; Rhoads, Christopher; Guthrie, John T.; McCoach, Betsy – Grantee Submission, 2020
Motivation for reading is important to comprehension and has been studied extensively in offline reading contexts. However, we know little about the role of motivation in online reading, a new and increasingly important context for reading. This is largely because we lack valid and reliable instruments to estimate a student's motivation for online…
Descriptors: Reading Motivation, Grade 7, Student Motivation, Electronic Publishing
Michael Matta; Milena A. Keller-Margulis; Sterett H. Mercer – Grantee Submission, 2022
Although researchers have investigated technical adequacy and usability of written-expression curriculum-based measures (WE-CBM), the economic implications of different scoring approaches have largely been ignored. The absence of such knowledge can undermine the effective allocation of resources and lead to the adoption of suboptimal measures for…
Descriptors: Cost Effectiveness, Scoring, Automation, Writing Tests
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
Lane, Kathleen Lynne; Oakes, Wendy Peia; Cantwell, Emily D.; Common, Eric A.; Royer, David J.; Leko, Melinda M.; Schatschneider, Christopher; Menzies, Holly Mariah; Buckman, Mark Matthew; Allen, Grant Edmund – Grantee Submission, 2019
In this article we examined predictive validity of Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE) scores for use with elementary-age students (N = 4,465) from 14 elementary schools. Results indicated elementary school students with high levels of risk according to fall SRSS-IE scores -- especially those with…
Descriptors: Predictive Validity, Elementary School Students, At Risk Students, Screening Tests
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Emily Dawn Cantwell; Chi-Ning Chang – Grantee Submission, 2024
Introduction: We report predictive validity of the newly defined Student Risk Screening Scale -- Internalizing and Externalizing (SRSS-IE 9, with 9 items) when used for the first time by middle and high school teachers from 43 schools. Methods: The sample included 11,773 middle school-aged students representing four geographic regions, and 7,244…
Descriptors: Predictive Validity, Middle School Students, High School Students, At Risk Students
Christina Weiland; Lillie Moffett; Paola Guerrero Rosada; Amanda Weissman; Kehui Zhang; Michelle Maier; Catherine Snow; Meghan McCormick; JoAnn Hsueh; Jason Sachs – Grantee Submission, 2023
Classroom-level quality measures are widely used in early education settings but may mask important variation in learning experiences across children in the same classroom. This study investigates this possibility using detailed data from an observational measure of individual children's learning experiences--Individualizing Student Instruction…
Descriptors: Learning Experience, Individual Differences, Individualized Instruction, Public Schools
