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Showing 1 to 15 of 22 results Save | Export
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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
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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
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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
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Edward Karl Schultz; Tammy Stephens; Pedro Olvera – Contemporary School Psychology, 2024
The specific learning disabilities (SLD) identification literature is replete with competing narratives concerning the advantages and disadvantages of various techniques and methods. Until a widely accepted and empirically proven SLD identification methodology is universally supported, evaluators should seek to improve the existing alternatives.…
Descriptors: Learning Disabilities, Identification, Intellectual Development, Evaluation Methods
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Martino Ongis; David Kidd; Jess Miner – Journal of Academic Ethics, 2024
As colleges and universities seek to invigorate ethics education, they need methods to identify where and describe how ethics is already present across their curricula. Meeting this need is complicated by the fact that much ethics education occurs in courses not explicitly focused on ethics or morality. In this paper, we review recent…
Descriptors: Higher Education, Ethics, College Curriculum, Relevance (Education)
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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
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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
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Zhipeng Hou; Elizabeth Tipton – Research Synthesis Methods, 2024
Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while…
Descriptors: Meta Analysis, Research Reports, Identification, Evaluation Methods
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Len Chan – Canadian Journal of Action Research, 2025
Anonymous marking, as a means to mitigate bias in grading, involves evaluating student work with their identities withheld. Anonymous marking is explored in this self-study to mitigate implicit bias, which negated a practitioner-researcher's educational values. The mixed methods action research findings show withholding student identities during…
Descriptors: Grading, Evaluation Methods, Student Evaluation, Bias
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Edmund De Leon Evangelista – Contemporary Educational Technology, 2025
The rapid advancement of artificial intelligence (AI) technologies, particularly OpenAI's ChatGPT, has significantly impacted higher education institutions (HEIs), offering opportunities and challenges. While these tools enhance personalized learning and content generation, they threaten academic integrity, especially in assessment environments.…
Descriptors: Artificial Intelligence, Integrity, Educational Strategies, Natural Language Processing
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Sidni A. Justus; Jenny L. Singleton; Agata Rozga – Focus on Autism and Other Developmental Disabilities, 2024
Over the past 20+ years, researchers have worked toward identifying early behavioral predictors of autism spectrum disorder (ASD) and developing observation-based screeners to supplement existing parent-report methods. This study is a follow-up, 3 to 8 years later, with parents/caregivers of 57 children previously enrolled in a U.S.…
Descriptors: Autism Spectrum Disorders, Identification, Screening Tests, Toddlers
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Laura L. Corona; Liliana Wagner; Madison Hooper; Amy Weitlauf; Tori E. Foster; Jeffrey Hine; Alexandra Miceli; Amy Nicholson; Caitlin Stone; Alison Vehorn; Zachary Warren – Journal of Autism and Developmental Disorders, 2024
Purpose: Telemedicine approaches to autism (ASD) assessment have become increasingly common, yet few validated tools exist for this purpose. This study presents results from a clinical trial investigating two approaches to tele-assessment for ASD in toddlers. Methods: 144 children (29% female) between 17 and 36 months of age (mean = 2.5 years, SD…
Descriptors: Autism Spectrum Disorders, Toddlers, Videoconferencing, Access to Health Care
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Yuanfang Liu; Mark H. C. Lai; Ben Kelcey – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance holds when a latent construct is measured in the same way across different levels of background variables (continuous or categorical) while controlling for the true value of that construct. Using Monte Carlo simulation, this paper compares the multiple indicators, multiple causes (MIMIC) model and MIMIC-interaction to a…
Descriptors: Classification, Accuracy, Error of Measurement, Correlation
Chelsea D. St. Julien – ProQuest LLC, 2024
In this study, the researcher used the quantitative descriptive methodology to explore and more clearly describe teachers' knowledge of dyslexia to improve dyslexia referral and evaluation practices for students on at-risk campuses. The purpose of this quantitative study was to determine what English-language arts teachers who teach kindergarten,…
Descriptors: Dyslexia, Knowledge Level, Referral, Evaluation Methods
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Margaret Chauke; Ramodungoane Tabane – South African Journal of Education, 2024
Primary school educators in South Africa often experience difficulties in applying recommended adaptive assessment methods in large multilingual classes, with these challenges being exacerbated when teaching and assessing English as First Additional Language (EFAL). In this article, we report on a study that explored Grade 6 educators' knowledge…
Descriptors: Foreign Countries, Alternative Assessment, Student Evaluation, Second Language Instruction
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