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Jon Wai; Joni M. Lakin – Grantee Submission, 2024
Students' talent and potential cannot be served until they are recognized by schools or caregivers. While the field of gifted education has had success in identifying talent among many students with talents in reading and mathematics, those with spatial talents are often overlooked. This article reviews how we might identify spatial talent using…
Descriptors: Spatial Ability, Identification, Talent, Student Evaluation
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
Ying Fang; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2023
Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Evaluation Methods
Laura K. Allen; Arthur C. Grasser; Danielle S. McNamara – Grantee Submission, 2023
Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…
Descriptors: Psychological Studies, Natural Language Processing, Automation, Research Methodology
Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian A. Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – Grantee Submission, 2024
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Tong Li; Sarah D. Creer; Tracy Arner; Rod D. Roscoe; Laura K. Allen; Danielle S. McNamara – Grantee Submission, 2022
Automated writing evaluation (AWE) tools can facilitate teachers' analysis of and feedback on students' writing. However, increasing evidence indicates that writing instructors experience challenges in implementing AWE tools successfully. For this reason, our development of the Writing Analytics Tool (WAT) has employed a participatory approach…
Descriptors: Automation, Writing Evaluation, Learning Analytics, Participatory Research
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
Janice D. Gobert; Michael A. Sao Pedro; Haiying Li; Christine Lott – Grantee Submission, 2023
In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…
Descriptors: Intelligent Tutoring Systems, Student Evaluation, Evaluation Methods, Natural Language Processing
McKown, Clark – Grantee Submission, 2017
Dr. Card's article provides useful and clear standards for determining what good measurement is, identifies important problems in the measurement of constructs important to character education, and provides clear guidance about measurement development. In this article, I raise 4 points that build on Dr. Card's work. First, advancing assessment in…
Descriptors: Personality, Social Development, Emotional Development, Standards
Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
Gary Weiser; Alison K. Billman; Christopher J. Harris; Lauren M. Brodsky; Damelin Daniel – Grantee Submission, 2022
The "Framework" and NGSS bring to the forefront the role of language in doing science and in learning from doing science. Yet, most existing science assessments for elementary learners do not integrate or attend to aspects of scientific language and literacy that are essential components of science proficiency. Accordingly, there is a…
Descriptors: Standards, Language Role, Science Instruction, Science Tests
Wendy M. Reinke; Keith C. Herman – Grantee Submission, 2016
The brief Student-Teacher Classroom Interaction Observation (ST-CIO) is a direct observation assessment that evaluates interactions between teachers and students. The measure was developed for use in classrooms during academic instruction to determine the frequency of teacher use of reprimands and praise toward a student, as well as the frequency…
Descriptors: Teacher Student Relationship, Observation, Evaluation Methods, Student Behavior
Allen, Laura K.; Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2016
The development of strong writing skills is a critical (and somewhat obvious) goal within the classroom. Individuals across the world are now expected to reach a high level of writing proficiency to achieve success in both academic settings and the workplace (Geiser & Studley, 2001; Powell, 2009; Sharp, 2007). Unfortunately, strong writing…
Descriptors: Writing Skills, Writing Instruction, Writing Strategies, Teaching Methods
Improving Comprehension Assessment for Middle and High School Students: Challenges and Opportunities
Sabatini, John; Petscher, Yaacov; O'Reilly, Tenaha; Truckenmiller, Adrea – Grantee Submission, 2015
For decades, standardized reading comprehension tests have consisted of a series of passages and associated multiple-choice questions. Although widely used in and out of the classroom, there continues to be considerable disagreement regarding how or whether such tests have net value in the service of advancing educational progress in reading. This…
Descriptors: Middle School Students, High School Students, Reading Comprehension, Reading Tests
Gersten, Russell M.; Clarke, Ben; Jordan, Nancy C.; Newman-Gonchar, Rebecca; Haymond, Kelly; Wilkins, Chuck – Grantee Submission, 2012
This article describes key findings from contemporary research on screening for early primary grade students in the area of mathematics. Existing studies were used to illustrate the constructs most worth measuring and the diverse strategies that researchers used to study potential measures. The authors discussed the strengths and weaknesses of…
Descriptors: Primary Education, Screening Tests, Predictive Validity, Correlation