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Acar, Selcuk – Creativity Research Journal, 2023
Fluency confound (FC) has been a widely studied issue in divergent thinking (DT) tasks. In this study, the impact of DT task structure on FC was examined by focusing on activity level data from Torrance Tests of Creative Thinking (TTCT)-Figural. The TTCT-Figural involves two different task structures. Prompts in Activities 1 and 2 are designed for…
Descriptors: Creative Thinking, Creativity Tests, Task Analysis, Cues
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Brian Barger; Ashley Salmon; Gale Chodron – Infants and Young Children, 2024
This study combined data from the National Survey of Children's Health (NSCH; 2016--2019) to develop state-level percentages of Hispanic, non-Hispanic Black, non-Hispanic other race, and non-Hispanic White children receiving developmental screening and/or monitoring and diagnosed with an autism spectrum disorder or developmental delay (ASD/DD).…
Descriptors: Autism Spectrum Disorders, Developmental Delays, Ethnic Groups, State Regulation
Willett, Ciara Louise – ProQuest LLC, 2023
Understanding when it is appropriate to make causal inferences from a statistical result is a fundamental skill for science literacy. Prior research has concentrated on erroneous causal judgments about observational studies, but there is little research on whether people understand that experiments provide stronger justification for causal claims.…
Descriptors: Research Design, Undergraduate Students, Intervention, Correlation
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Jessica M. Schwartzman; Blythe A. Corbett – Review Journal of Autism and Developmental Disorders, 2024
Autistic adults face elevated risks for depression and unemployment, yet a systematic review of studies on the intersection of depression and employment in autism is needed to inform research and clinical efforts. The present review synthesizes findings from studies that (1) measure both depression and employment in autistic adults, and (2)…
Descriptors: Depression (Psychology), Employment, Mental Health, Unemployment
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Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
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Siraprapa Kotmungkun; Wichuta Chompurach; Piriya Thaksanan – English Language Teaching Educational Journal, 2024
This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…
Descriptors: Plagiarism, Artificial Intelligence, Computer Software, Essays
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Van Camp, Carole M.; Batchelder, Sydney R.; Irwin Helvey, Casey – Journal of Applied Behavior Analysis, 2022
Children should engage in 1 hr/day of moderate-to-vigorous physical activity (MVPA) that results in increased heart rates (HRs) (CDC, 2022). However, precise individualized HR criteria for MVPA are not provided, and it is unclear whether observed behaviors classified as MVPA are associated with elevated HRs indicative of MVPA. The current study…
Descriptors: Metabolism, Physical Activity Level, Identification, Classification
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Andrés Rubio; Juan Carlos Oyanedel; Ferran Viñas; Javier Torres-Vallejos; Cristián Céspedes-Carreño; Danae Pedraza; Rami Benbenishty – European Journal of Psychology of Education, 2024
This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…
Descriptors: Intelligence, Psychopathology, Self Efficacy, Academic Ability
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Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
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García, Agustín J.; Fong, Carlton J.; Regalado, Yvette M. – Educational Psychology Review, 2023
In the USA, over 600,000 student-athletes participate in nationally organized intercollegiate sports and occupy socially prominent spaces on college campuses. Although their athletic accomplishments often garner much attention, there is growing interest in collegiate student-athletes' academic achievement and its precursors. One set of factors…
Descriptors: Student Athletes, College Students, College Athletics, Student Motivation
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Clarke, Olivia; Chan, Wai Yin Debbie; Bukuru, Saddam; Logan, Jenae; Wong, Rex – Higher Education: The International Journal of Higher Education Research, 2023
Plagiarism is a serious type of scholastic misconduct. In Rwanda, no research has been conducted to assess university students' attitudes and knowledge of plagiarism and if they have the skills to avoid plagiarizing. This study was conducted to assess knowledge of and attitudes towards plagiarism, as well as ability to recognize plagiaristic…
Descriptors: Plagiarism, Knowledge Level, Undergraduate Students, Foreign Countries
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Kimberly L. Henry; Linda R. Stanley; Randall C. Swaim – Journal of School Health, 2024
Background: High cannabis use rates among American Indian (AI) adolescents necessitate the identification of factors that protect against early cannabis initiation. Methods: Data collected from 279 AI middle school students attending reservation-based schools in 2018 and 2019 were analyzed. Three waves of data, with approximately 6 months between…
Descriptors: American Indian Students, Educational Environment, Marijuana, Identification
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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
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Kucina, Talira; Sauer, James D.; Holt, Glenys A.; Brewer, Neil; Palmer, Matthew A. – Applied Cognitive Psychology, 2020
Presenting a blank line-up--containing only fillers--to witnesses prior to showing a real line-up might be useful for screening out those who pick from the blank line-up as unreliable witnesses. We show that the effectiveness of this procedure varies depending on instructions given to witnesses. Participants (N = 462) viewed a simulated crime and…
Descriptors: Recognition (Psychology), Simulation, Crime, Identification
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Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
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