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Sung, Sooyeon; Fenoglio, Angela; Wolff, Jason J.; Schultz, Robert T.; Botteron, Kelly N.; Dager, Stephen R.; Estes, Annette M.; Hazlett, Heather C.; Zwaigenbaum, Lonnie; Piven, Joseph; Elison, Jed T. – Child Development, 2022
Using the Infant Behavior Questionnaire--Revised in a longitudinal sample of infant siblings of autistic children (HR; n = 427, 171 female, 83.4% White) and a comparison group of low-risk controls (LR, n = 200, 86 female, 81.5% White), collected between 2007 and 2017, this study identified an invariant factor structure of temperament traits across…
Descriptors: Factor Structure, Infants, Behavior, Siblings
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Riden, Benjamin S.; Snyder, Sara M.; Fowkes, Colleen L.; Yuschak, Anastasia E. – Education and Treatment of Children, 2022
The purpose of this review is to identify the application of eye-gaze stimulus preference assessment as well as the various characteristics of those assessments in the research literature. We conducted a systematic review that identified 18 articles using eye gaze to identify preferred stimuli. Of those studies, seven were used to determine a…
Descriptors: Eye Movements, Visual Stimuli, Preferences, Identification
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Sternberg, Robert J. – Gifted Education International, 2022
The focus of the field of giftedness is on the wrong thing. Instead of focusing on identifying who is gifted, the field should identify how people will deploy their gifts and educate students to deploy their gifts in ways that will make the world a better place. In this article, I present at least a partial taxonomy of how gifts can be deployed…
Descriptors: Taxonomy, Interpersonal Relationship, Gifted, Identification
Chenchen Ma; Gongjun Xu – Grantee Submission, 2022
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models widely used in educational, psychological and social sciences. In many applications of CDMs, certain hierarchical structures among the latent attributes are assumed by researchers to characterize their dependence structure. Specifically, a directed acyclic…
Descriptors: Vertical Organization, Models, Evaluation, Statistical Analysis
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Pan, Yiqin; Wollack, James A. – Journal of Educational Measurement, 2021
As technologies have been improved, item preknowledge has become a common concern in the test security area. The present study proposes an unsupervised-learning-based approach to detect compromised items. The unsupervised-learning-based compromised item detection approach contains three steps: (1) classify responses of each examinee as either…
Descriptors: Test Items, Cheating, Artificial Intelligence, Identification
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Deeb, Haneen; Vrij, Aldert; Leal, Sharon; Mann, Samantha – Applied Cognitive Psychology, 2021
The current experiment examined the effects of combining two interview techniques on information elicitation and lie detection in multiple interviews. Participants were interviewed online over three weeks. Two-thirds of the participants (n = 114) were presented with the model statement (MS) interview technique in Interview 1 and were asked to…
Descriptors: Interviews, Deception, Freehand Drawing, Models
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Goodrich, Kristopher M.; Brammer, M. Kathryn – Journal of Multicultural Counseling and Development, 2021
Cass's (1979) model of homosexual identity formation has been used as a guideline to understand sexual identity development, although questions of its current applicability have been raised. This article critically analyzes Cass's model through a contemporary lens. To contextualize and understand the model and its implications, we review empirical…
Descriptors: Homosexuality, Identification (Psychology), Criticism, Counselor Training
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Sternberg, Robert J.; Karami, Sareh – Roeper Review, 2021
We propose that wisdom should be considered in understanding, identifying, and developing skills of thought translated into action in gifted children and adults. First, we review some of the history of the gifted field and conclude that ideas about understanding, identification, and instruction are largely obsolete and based on assumptions that…
Descriptors: Gifted, Identification, Models, History
Tyler J. McSparin – ProQuest LLC, 2021
The current study investigated the ways that school districts in Missouri identified homeless and highly mobile students. A mixed methods data strategy was employed. A survey was sent to a sample of Missouri school districts to determine if identification practices were related to district demographics. Logistic regressions showed that district…
Descriptors: Homeless People, Students, Identification, Economically Disadvantaged
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Katy-Louise Payne; Emma Gooding – Autism: The International Journal of Research and Practice, 2025
Research suggests that whilst not more likely to offend, autistic people are overrepresented within the Criminal Justice System. To date, prevalence estimates are available only for male autistic offenders. Thus, this research aimed to provide the prison-reported rate of autistic female prisoners currently residing in the female prison estate in…
Descriptors: Foreign Countries, Correctional Institutions, Institutionalized Persons, Females
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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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Jon-Philippe K. Hyatt; Elisa Jayne Bienenstock; Carla M. Firetto; Elizabeth R. Woods; Robert C. Comus – Advances in Physiology Education, 2025
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable from human-derived work. Instructors must rely on intuition/experience and, recently, assistance from…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Writing Skills
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Ellen B. Rubinstein; Hannah Rayel; Elizabeth C. Crawford; Mary Larson – Journal of American College Health, 2025
Objective: This exploratory study examined campus attitudes toward vaccines to guide subsequent development of context-relevant interventions for increasing vaccine acceptance and uptake. Participants: We gathered ethnographic data on a convenience sample of campus community members (students, faculty, staff) at a public university over six weeks…
Descriptors: Immunization Programs, College Students, College Faculty, School Personnel
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Babette Bühler; Tim Fütterer; Luise von Keyserlingk; Efe Bozkir; Enkelejda Kasneci; Peter Gerjets; Ulrich Trautwein – Educational Psychology Review, 2025
Attention is crucial for learners to enhance their learning and build knowledge. Sustaining prolonged attention requires students to self-regulate their behavioral, emotional, and cognitive processes. At the same time, learners engage in mind wandering approximately 30% of the time spent in educational activities, leading to a deterioration in…
Descriptors: Attention Control, Learning Processes, Independent Study, Cognitive Processes
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Candace J. Chow; Rebekah Wadsworth; Darin Ryujin; Michelle Vo; Julie K. Thomas – Advances in Health Sciences Education, 2025
The COVID-19 pandemic highlighted how racially minoritized patients and clinicians have suffered racial discrimination. It also made visible the ways in which Asians across the globe experience racial hate and illuminated that the experiences of Asians in medicine are not often spotlighted. In the United States specifically, Asian Americans are…
Descriptors: Physicians, Allied Health Personnel, Nursing, Asian Americans
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