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Suzy McTaggart; Michael Hortsch – Anatomical Sciences Education, 2024
Assessment of learners in the anatomical sciences is a complex task as it not only tests students' fact knowledge, but also the analysis of visual information. Sometimes, novice histology learners must acquire image recognition skills of microscopic structures in a short time frame. This paper describes a strategy of offering first year dental…
Descriptors: Formative Evaluation, High Stakes Tests, Student Evaluation, Anatomy
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Duo Liu; Lei Wang; Terry Tin-Yau Wong; R. Malatesha Joshi – Journal of Research in Reading, 2024
Background: Rapid automatised naming (RAN) has been found to predict children's reading and arithmetic abilities. However, the underlying mechanisms for its involvement in the two abilities are not clear. This study examines how RAN shared variances with domain-general and domain-specific abilities in predicting reading and arithmetic in Chinese…
Descriptors: Grade 3, Elementary School Students, Foreign Countries, Automation
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Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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Smail Layes; Sana Tibi; Marjolaine Cohen; Linda Lombardino – Learning Disability Quarterly, 2024
This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…
Descriptors: Naming, Reading Skills, Arabic, Grade 3
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Srinivas V. Karra; Trudy M. Krause; Jose-Miguel Yamal; Nicholas T. Ogle; Rebecca Tanner; Lee Revere – Journal of Developmental and Physical Disabilities, 2024
Studies exploring associations between children with Autism Spectrum Disorder (ASD) and depression in parents are limited. This study compares healthcare utilization, depression treatment costs, and risk factors, in parents of children with and without ASD. Using a matched case-control, individuals aged 27 to 64 with continuous enrollment from…
Descriptors: Autism Spectrum Disorders, Parents, Depression (Psychology), Correlation
Lisa Marie Chervenak – ProQuest LLC, 2024
While instances of cut and paste plagiarism among undergraduate college students has decreased over the past several years, a new form of plagiarism has emerged that often goes undetected by these software systems. Paraphrasing websites allow users to enter information from a source, which the website will then reword, giving the appearance of an…
Descriptors: Undergraduate Students, For Profit Colleges, Plagiarism, Writing (Composition)
Takiwi Milton – ProQuest LLC, 2024
The United States has long struggled with retaining superintendents in public school districts, with a retention rate of only 32% to 43% over the past decade. The low retention rate is concerning as it can negatively impact the quality of education offered to students and staff morale. The twofold purpose of this research was to identify factors…
Descriptors: Superintendents, Geographic Regions, Labor Turnover, Persistence
Brian Holzman; Horace Duffy – Annenberg Institute for School Reform at Brown University, 2024
As states incorporate measures of college readiness into their accountability systems, school and district leaders need effective strategies to identify and support students at risk of not enrolling in college. Although there is an abundant literature on early warning indicators for high school dropout, fewer studies focus on indicators for…
Descriptors: College Enrollment, College Readiness, Educational Indicators, Predictor Variables
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Jake Meads; Daniel Shepherd; Jason Landon; Sonja Goedeke – Journal of Autism and Developmental Disorders, 2024
The current study was a secondary analysis of cross-sectional data collected in New Zealand. Parents (n = 291) of an autistic child completed an online survey that included temporal/demographic questions relating to the parent and child, and parent ratings of the child's core ASD symptoms, their parenting stress, and psychological well-being.…
Descriptors: Child Rearing, Autism Spectrum Disorders, Symptoms (Individual Disorders), Stress Variables
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Dante D. Dixson; Leah Jansen; Ersie-Anastasia Gentzis; Frank C. Worrell – High Ability Studies, 2024
In this study, the relationship between clusters of hope and a psychosocial profile of academic talent development is examined in a sample of 466 academically gifted adolescents. First, cluster analysis is leveraged to examine whether interpretable three- and four-cluster hope solutions can be found in the sample. Second, differences among a group…
Descriptors: Academically Gifted, Adolescents, Predictor Variables, Student Characteristics
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Md Sazzad Hossain; Debora Wenger – Journalism and Mass Communication Educator, 2024
Journalism is a highly technology-dependent profession, and students, educators, and professionals must develop specific digital skills. This study uses the theory of disruptive innovation to examine how journalism educators adapt their programs in response to changing media environments. A survey of accredited journalism and mass communication…
Descriptors: Journalism Education, Educational Change, Educational Technology, Technology Uses in Education
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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Francisco Arturo Santelli; Jason A. Grissom – AERA Open, 2024
Research suggests that longer commute times may increase employee turnover probabilities by increasing stress and reducing job attachment and embeddedness. Using administrative data from a midsized urban school district, we test whether teachers with longer commute times are more likely to transfer schools or exit the district. Both descriptively…
Descriptors: Travel, Transportation, Time, Proximity
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Matthew E. Foster; Jacqueline M. Caemmerer; Briana Hennessy; Sara A. Smith; Lisa M. López; Trina D. Spencer – Elementary School Journal, 2024
Using the Early Childhood Longitudinal Study Kindergarten Cohort (2010-2011), this study is the first to investigate predictors of kindergarten science achievement and growth across elementary school--English language proficiency (ELP), executive functioning, math and reading achievement, parent-engaged science and math activities, and classroom…
Descriptors: Predictor Variables, Kindergarten, Young Children, Science Achievement
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Bantigegn Tegegne; Habtamu Wondimu – Cogent Education, 2024
Retaining a talented workforce is a crucial concern for any organization. This study aimed to examine the level and predictors of organizational commitment among Ethiopian public university instructors. The objectives were to measure the levels of emotional intelligence, effective communication, and organizational commitment; test the…
Descriptors: Emotional Intelligence, Universities, Communication Skills, Predictor Variables
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