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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Grantee Submission, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
Rahimi, Seyedahmad; Shute, Valerie; Zhang, Qian – Grantee Submission, 2021
Persistence is an important part of student success--both in and out of school. To enhance persistence, we first need to assess it accurately. Digital games can be used as vehicles for measuring and enhancing persistence. The purpose of this study is to test the effects of (a) game-level characteristics (i.e., game mechanics and conceptual…
Descriptors: Educational Games, Computer Games, Game Based Learning, Problem Solving
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Betts, Julian; Hill, Laura; Bachofer, Karen; Hayes, Joseph; Lee, Andrew; Zau, Andrew – Grantee Submission, 2019
More than 40 percent of students in California's public schools speak a language other than English at home. In the 2016-17 school year, 21 percent of all students, or more than 1.3 million, were English Learners (ELs). When former English Learners are included, the population of "ever ELs" expands to 38 percent of all K-12 students in…
Descriptors: English Language Learners, Classification, School Districts, Outcomes of Education
Eric Horowitz; Daphna Oyserman; Morteza Dehghani; Sorensen Nicholas – Grantee Submission, 2020
Introduction: Despite the assumed importance of school-focused possible identities for academic motivation and outcomes, interventions rarely assess the effect of the intervention on possible identities. This may be due to difficulty coding open-ended text at scale but leaves open a number of questions: 1) how do school-focused possible identities…
Descriptors: Grade 8, Educational Environment, Context Effect, Identification (Psychology)
Heather L. McDaniel; Summer S. Braun; Jessika H. Bottiani; Danielle De Lucia; Patrick H. Tolan; Catherine P. Bradshaw – Grantee Submission, 2022
Classroom management practices are critical to the success of teachers and students, and a growing number of programs have been developed to improve these practices. However, there has been less investigation into observational tools to assess classroom management and explore whether it can be measured consistently by observers across elementary,…
Descriptors: Comparative Analysis, Classroom Observation Techniques, Elementary School Teachers, Middle School Teachers
Clark McKown; Nicole Russo-Ponsaran; Ashley Karls – Grantee Submission, 2022
This paper presents evidence of the score reliability, factor structure, criterion-related validity, and measurement equivalence of a web-based assessment of several important social and emotional competencies for children in fourth through sixth grades. The assessment, SELweb LE (Late Elementary), is designed to measure children's understanding…
Descriptors: Social Emotional Learning, Social Development, Emotional Development, Elementary School Students
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Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2018
We compared students' performance on a paper-based test (PBT) and three computer-based tests (CBTs). The three computer-based tests used different test navigation and answer selection features, allowing us to examine how these features affect student performance. The study sample consisted of 9,698 fourth through twelfth grade students from across…
Descriptors: Evaluation Methods, Tests, Computer Assisted Testing, Scores
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Paz, Jennica; Kim, Eui Kyung; Dowdy, Erin; Furlong, Michael J.; Hinton, Tameisha; Piqueras, José A.; Rodríguez-Jiménez, Tíscar; Marzo, Juan C.; Coates, Susan – Grantee Submission, 2020
The assessment of psychosocial strengths in children and adolescents has predominately focused on the measurement of single traits and constructs, such as grit (Christopoulou, Lakioti, Pezirkianidis, Karakasidou, & Stalikas, 2018), optimism (Oberle, Guhn, Gadermann, Thomson, & Schonert-Reichl, 2018), hope (Pedrotti, 2018), and gratitude…
Descriptors: Psychological Patterns, Student Characteristics, Screening Tests, Holistic Approach
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Gubbins, E. Jean; Siegle, Del; Hamilton, Rashea; Peters, Pamela; Carpenter, Ashley Y.; O'Rourke, Patricia; Puryear, Jeb; McCoach, D. Betsy; Long, Daniel; Bloomfield, Emma; Cross, Karen; Mun, Rachel U.; Amspaugh, Christina; Langley, Susan Dulong; Roberts, Anne; Estepar-Garcia, William – Grantee Submission, 2018
English learners (ELs) are the fastest growing population of learners in the United States; however, despite the growing numbers of ELs, their representation in gifted identification and programming continues to lag behind not only traditional populations of learners from advantaged communities, but also other underserved populations of learners.…
Descriptors: English Language Learners, Academically Gifted, Talent Identification, Elementary Schools
McKenna, Meaghan; Soto-Boykin, Xigrid; Cheng, Ke; Haynes, Elizabeth; Osorio, Amanda; Altshuler, Joan – Grantee Submission, 2021
This article describes the development and administration of a survey to identify early childhood educators' successes and barriers when delivering remote instruction (e.g., online whole or small group instruction) during the COVID-19 pandemic to children 2-5 years old. The survey was developed using procedures outlined by the commonly accepted…
Descriptors: Test Construction, Testing, Surveys, Early Childhood Teachers
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Crossley, Scott; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study investigates a new approach to automatically assessing essay quality that combines traditional approaches based on assessing textual features with new approaches that measure student attributes such as demographic information, standardized test scores, and survey results. The results demonstrate that combining both text features and…
Descriptors: Automation, Scoring, Essays, Evaluation Methods