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Gagan Chandra Mandal; Forid Saikh; Sumit K. Ray; Kuheli Pramanik; Laboni Giri – Journal of Chemical Education, 2024
Detection of metal ions in solution has been performed without employing H[subscript 2]S or any other sulfide materials. The new method is free from the interference from anions. Identification of Na[superscript +], K[superscript +], and NH[subscript 4][superscript +] has been made possible directly from an aqueous extract of the sample mixture. A…
Descriptors: Inorganic Chemistry, Identification, Evaluation Methods, Classification
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
Jonathan Wai; Joni M. Lakin – Gifted Child Today, 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 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 traditional…
Descriptors: Spatial Ability, Identification, Talent, Student Evaluation
Cesare Giulio Ardito – New Directions for Teaching and Learning, 2025
This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms. I explore the effectiveness, vulnerabilities, and ethical implications of AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Identification
Jessica M. Lammert; Angela C. Roberts; Ken McRae; Laura J. Batterink; Blake E. Butler – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…
Descriptors: Identification, Natural Language Processing, Artificial Intelligence, Barriers
Scott J. Peters; Tamra Stambaugh; Matthew C. Makel; Lindsay Ellis Lee; Matthew T. McBee; D. Betsy McCoach; Kiana R. Johnson – Gifted Child Quarterly, 2023
Debates over identification procedures for gifted and talented students dominate the field and serve as the topic of many of its internal and external debates. We believe this is due to a lack of commonly accepted criteria for how to evaluate identification procedures. In this article, we present the Cost, Alignment, Sensitivity, and Access (CASA)…
Descriptors: Academically Gifted, Talent Identification, Evaluation Criteria, Evaluation Methods
Christopher, Kourtney; Lord, Catherine – Psychology in the Schools, 2022
The heterogeneous nature of Autism Spectrum Disorder (ASD) makes accurate diagnosis challenging. Best practice assessments in schools can open pathways to appropriate interventions and educational placements for those with ASD, as well as help identify a student's strengths. There are various tools used in school settings to assess autism. In this…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Disability Identification
Schafer, Zachary C.; Scharmann, Lawrence C. – Science Teacher, 2021
Many students possess their own unique potential and "genius," but seem to base their worth on the status of grades instead of their connection to education itself. Antonio Salieri, for instance, created wonderful, emotionally binding music throughout his lifetime. Salieri however, never saw the beauty in his work because Mozart, a child…
Descriptors: Musicians, Musical Composition, Aesthetics, Gifted
Marissa J. Filderman; Clark McKown; Pamela Bailey; Gregory J. Benner; Keith Smolkowski – Beyond Behavior, 2023
The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…
Descriptors: Elementary School Students, Social Emotional Learning, Skill Development, Progress Monitoring
Frank J. Snyder; Fatimah E. Khan – Gifted Education International, 2025
This article discusses concepts related to character strengths and positive youth development and how these ideas can be applied to improve outcomes among gifted young people. A theory with roots in public health, The Theory of Triadic Influence (TTI), is discussed with examples applied to gifted populations. Practitioners and researchers from…
Descriptors: Youth, Academically Gifted, Gifted, Gifted Education
Ma, Wenchao; de la Torre, Jimmy – Educational Measurement: Issues and Practice, 2019
In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…
Descriptors: Models, Classification, Measurement, Identification
Brigham, Frederick J.; McKenna, John William; Claude, Christopher M.; Brigham, Michele M. – Advances in Special Education, 2021
This chapter summarizes issues related to the accurate and timely identification of students with emotional and/or behavioral disorders (EBDs) as well as identifying need, planning interventions, and monitoring outcomes. First, we describe ongoing issues and concerns with accurate (e.g., minimization of false positives and false negatives) and…
Descriptors: Emotional Disturbances, Behavior Disorders, Disability Identification, Student Needs
McClure, Erica B.; Burt, Jonathan L. – Beyond Behavior, 2023
Functional communication training (FCT) is a strategy to address problem behavior for students with various disabilities that is supported by a broad evidence base. Despite this support, multiple factors continue to dissuade educators from utilizing FCT in their classrooms. This article outlines the process of developing and implementing FCT plans…
Descriptors: Behavior Problems, Students with Disabilities, Intervention, Evidence Based Practice
Center for IDEA Early Childhood Data Systems (DaSy), 2021
This report includes guidance, considerations, and resources for state staff and local practitioners who are determining Part C eligibility remotely. As a result of COVID-19, many states are having to determine a child's eligibility for Part C services remotely using a variety of approaches such as teleconference, videoconference, and sharing…
Descriptors: Educational Legislation, Federal Legislation, Disabilities, Equal Education
Ximena A. Portilla; Iheoma U. Iruka – MDRC, 2024
Robust investment in early childhood education can help expand children's access to high-quality pre-K programs. These investments can also strengthen the ability of educators to gather valuable information about young children's behaviors, skills, and competencies in order to make better decisions about how to support their learning and…
Descriptors: Equal Education, Preschool Children, Student Evaluation, Child Development

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