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McKinzy, Alicia Nunez – ProQuest LLC, 2023
The purpose of this study was to examine the relationship between role stress, school-related factors, and the general perceived self-efficacy of elementary school counselors. Specifically, this study was concerned with the predictability of role stress factors (role ambiguity and role conflict) and school-related factors (school classification…
Descriptors: Elementary Schools, School Counselors, Self Efficacy, Self Concept
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Garrido, Margarida V.; Prada, Marília; Simão, Cláudia; Semin, Gün R. – Cognitive Science, 2019
In two experiments, we examined the impact of color on cognitive performance by asking participants to categorize stimuli presented in three different colors: red, green, and gray (baseline). Participants were either asked to categorize the meaning of words as related to the concepts of "go" or "stop" (Experiment 1) or to…
Descriptors: Color, Language Processing, Semantics, Classification
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Nájera, Pablo; Sorrel, Miguel A.; Abad, Francisco José – Educational and Psychological Measurement, 2019
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…
Descriptors: Matrices, Statistical Analysis, Models, Classification
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D'Arms, Justin; Samuels, Richard – Developmental Psychology, 2019
Emotion development research centrally concerns capacities to produce emotions and to think about them. We distinguish these enterprises and consider a novel account of how they might be related. On one recent account, the capacity to have emotions of various kinds comes by way of the acquisition of emotion concepts. This account relies on a…
Descriptors: Emotional Development, Concept Formation, Constructivism (Learning), Classification
Hodges, Jaret; Mohan, Soumya – Gifted Child Quarterly, 2019
Machine learning algorithms are used in language processing, automated driving, and for prediction. Though the theory of machine learning has existed since the 1950s, it was not until the advent of advanced computing that their potential has begun to be realized. Gifted education is a field where machine learning has yet to be utilized, even…
Descriptors: Gifted Education, Artificial Intelligence, Classification, Computer Uses in Education
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Xu, Cora Lingling; Montgomery, Catherine – Review of Education, 2019
The landscape of global higher education is changing rapidly in response to and alongside the geopolitical and geosocial global transformations, with China and East Asia becoming key players in higher education. As China's economic power and strategic reach grows against a context of global uncertainty, it has become increasingly important to…
Descriptors: Foreign Countries, Higher Education, Global Approach, Educational Mobility
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Winkler, Ingo; Rybnikova, Irma – Higher Education Quarterly, 2019
The paper provides a systemic literature review and a typology of texts that discuss student resistance in the classroom in Higher Education. Analysing 134 empirical and conceptual studies published between 1988 and 2018 for how student resistance is conceptualised, this review identifies three approaches: functional-instrumentalist,…
Descriptors: Resistance (Psychology), College Students, Classification, Higher Education
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Carragher, Natacha; Templin, Jonathan; Jones, Phillip; Shulruf, Boaz; Velan, Gary – Educational Measurement: Issues and Practice, 2019
In this ITEMS module, we provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement/classification models (DCMs), which are a promising psychometric modeling approach. These models can provide detailed skill- or attribute-specific feedback to respondents along multiple latent…
Descriptors: Measurement, Classification, Models, Check Lists
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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
Stanley, C.; Petscher, Y.; Pentimonti, J. – National Center on Improving Literacy, 2019
Classification accuracy is a key characteristic of screening tools. A goal in classification accuracy is to correctly identify issues that result in a later problem and situations in which the scores identify issues that do not result in a later problem.
Descriptors: Screening Tests, Identification, Classification, Accuracy
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Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
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Thanachporn Varapongsittikul; Sujinat Jitwiriyanont – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study aims to investigate the VOT values of English wordinitial plosive consonants produced by young Thai learners to understand current trends in English pronunciation among Thai speakers and its future direction. The study analyzes how phonological mismatches between Thai and English affect the pronunciation of Thai learners, using a speech…
Descriptors: Phonemes, Thai, Native Language, Second Language Instruction
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Lovisa Alehagen; Sven Bölte; Melissa H Black – Autism: The International Journal of Research and Practice, 2025
The International Classification of Functioning, Disability, and Health is a biopsychosocial framework of health-related functioning designed to provide a unifying system for health care, social services, education, and policy sectors. Since its publication in 2001, the International Classification of Functioning has been used to guide clinical…
Descriptors: Autism Spectrum Disorders, Attention Deficit Hyperactivity Disorder, Classification, Functional Behavioral Assessment
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Sakir Hossain Faruque; Sharun Akter Khushbu; Sharmin Akter – Education and Information Technologies, 2025
A career is crucial for anyone to fulfill their desires through hard work. During their studies, students cannot find the best career suggestions unless they receive meaningful guidance tailored to their skills. Therefore, we developed an AI-assisted model for early prediction to provide better career suggestions. Although the task is difficult,…
Descriptors: Decision Making, Career Development, Career Guidance, Computer Science Education
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Brittany N. Zakszeski; Heather E. Ormiston; Tyler L. Renshaw; Mei-Ki Chan; Daniel Osgood – School Mental Health, 2025
To inform the use of universal social, emotional, and behavioral (SEB) screening in secondary schools, we examined the functioning of the Social, Academic, and Emotional Behavior Risk Screener--Student Rating Scale (mySAEBRS) across three occasions (fall, winter, and spring) in a sample of secondary students (Grades 6-12). With consideration for…
Descriptors: Student Characteristics, Classification, Social Emotional Learning, Secondary School Students
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