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Roya Abbasi-Asl; Natasha Keces; Richard M. Lerner; Margaret Mackin; Dian Yu; Elizabeth M. Dowling; Jonathan M. Tirrell; Alexa Hasse; Kirsten Olander; Angela Larkan; Chuma Mashita; Raah Msimango; Sinenhlanhla Mkhithi; Tyler Howard – Child & Youth Care Forum, 2025
Background: Nomothetic, group differential, and idiographic approaches are all needed to fully understand youth development. However, most research on youth character development has traditionally relied on either the nomothetic approach to study whole sample changes or the differential approach to study changes in predefined groups (e.g.,…
Descriptors: Foreign Countries, Moral Development, Youth, Individual Development
Vanessa De Wilde; Wander Lowie – Language Learning, 2025
Studies looking into second language development have shown that findings about a group of learners cannot be transferred to individual learners. In this study, we explored ways to meaningfully group individuals starting from the data and investigated whether this grouping can give extra information about learning trajectories that goes beyond the…
Descriptors: Second Language Learning, English (Second Language), Speech Communication, Longitudinal Studies
Jakob Åsberg Johnels; Martyna A. Galazka; Maria Sundqvist; Nouchine Hadjikhani – British Journal of Educational Psychology, 2025
Background: When looking at faces, we tend to attend more to the left visual field (corresponding to the right side of the person's face). This phenomenon is called the left visual field bias (LVF) and is presumed to reflect the brain's right-sided dominance for face processing. Whether alterations in hemispheric dominance are present in dyslexia,…
Descriptors: Visual Perception, Individual Differences, Reading Skills, Dyslexia
Simon M. Ceh; Mathias Benedek – Journal of Creative Behavior, 2025
Creative behaviors are increasingly impacted by digital technologies, but little is known about the way digital technologies support everyday creativity and what factors predict their creative use. We investigated to what extent individual differences in person-specific (creativity, personality) and platform-specific (e.g., perceived creativity…
Descriptors: Creativity, Behavior, Social Media, Personality Traits
Yuhan Jiang; Ting Wang – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study focuses on examining how individual differences, including biological, linguistic, and cognitive traits, and prosodic focus affect the computation biases and reaction time (RT) associated with quantity scalar terms in Mandarin-speaking children aged 3-8 years. Method: The participants of this study were 27 Mandarin-speaking…
Descriptors: Mandarin Chinese, Children, Individual Differences, Computation
Ashish Saxena; Rachna Khare – International Journal of Technology and Design Education, 2025
Spontaneous judgment and decision-making (JDM) are common behaviors that remain ambiguous to be utilized in architecture design studios. A decision-maker (DM) response varies due to individual differences in an architectural design (AD) environment that keeps changing from abstract ideas to concrete design details along the process. The study aims…
Descriptors: Decision Making, Architecture, Design, College Students
Xiantong Yang; Jon R. Star; Ru-De Liu; Yi Yang – Educational Psychology Review, 2025
Existing research has revealed key factors influencing mathematical flexibility, defined as the capacity to understand, generate, and apply a variety of strategies in solving mathematical problems. However, there is currently a lack of an integrated theoretical framework to systematically consolidate various sources of individual differences in…
Descriptors: Individual Differences, Mathematics Skills, Problem Solving, Demography
Silvia, Paul J.; Cotter, Katherine N.; Christensen, Alexander P. – Creativity Research Journal, 2023
Studies of everyday creativity suggest that some people are like creative omnivores, dabbling in a broad range of creative pursuits, but others are like picky eaters, focusing on a single creative passion. A week-long experience sampling study examined the breadth vs depth of 125 university students' everyday creative activities. Several times a…
Descriptors: Creativity, Creative Activities, Personality Traits, Undergraduate Students
Yamasaki, Brianna L.; Prat, Chantel S. – Mind, Brain, and Education, 2023
Neural efficiency, adaptability, and synchronization, or the ability to recruit, dynamically modulate, and coordinate neural resources on an "as needed" basis, have been proposed as hallmarks of skilled reading. The current study explored the relation between these aspects of neural functioning during reading, as measured by…
Descriptors: Individual Differences, Inhibition, Self Control, Cognitive Processes
Jia Hoong Ong; Chen Zhao; Alex Bacon; Florence Yik Nam Leung; Anamarija Veic; Li Wang; Cunmei Jiang; Fang Liu – Journal of Autism and Developmental Disorders, 2024
Previous studies reported mixed findings on autistic individuals' pitch perception relative to neurotypical (NT) individuals. We investigated whether this may be partly due to individual differences in cognitive abilities by comparing their performance on various pitch perception tasks on a large sample (n = 164) of autistic and NT children and…
Descriptors: Autism Spectrum Disorders, Auditory Perception, Intonation, Cognitive Ability
Bronson Hui; Zhiyi Wu – Studies in Second Language Acquisition, 2024
A slowdown or a speedup in response times across experimental conditions can be taken as evidence of online deployment of knowledge. However, response-time difference measures are rarely evaluated on their reliability, and there is no standard practice to estimate it. In this article, we used three open data sets to explore an approach to…
Descriptors: Reliability, Reaction Time, Psychometrics, Criticism
Panos Athanasopoulos; Rui Su – Language Learning, 2024
The temporal focus hypothesis (TFH) entails that individuals who value the past tend to conceptualize it in front, whereas individuals who value the future tend to map the future in front instead (de la Fuente et al., 2014). This varies as a function of culture, individual differences, and context. Here, we extend this line of inquiry by testing a…
Descriptors: Time, COVID-19, Pandemics, Individual Differences
Hyomin Kim; Gyunam Park; Minsu Cho – Education and Information Technologies, 2024
Learning analytics, located at the intersection of learning science, data science, and computer science, aims to leverage educational data to enhance teaching and learning. However, as educational data increases, distilling meaningful insights presents challenges, particularly concerning individual learner differences. This work introduces a…
Descriptors: Learner Engagement, Academic Achievement, Learning Processes, Learning Analytics
Ginny M. Frederick; Hannah K. Wilson; Ewan R. Williams – Journal of American College Health, 2024
Objective: To compare dietary intakes between LGBTQ + and non-LGBTQ + college students. Participants: Participants were LGBTQ+ (n = 92) and non-LGBTQ+ (n = 491) college students. Methods: The 26-item Dietary Screener Questionnaire assessed intakes of added sugars, fiber, whole grains, fruits and vegetables, dairy, and calcium. Percentage of…
Descriptors: Eating Habits, Individual Differences, LGBTQ People, Food
Margaux Renoux; Sébastien Goudeau; Theodore Alexopoulos; Cédric A. Bouquet; Andrei Cimpian – npj Science of Learning, 2024
Two studies examined how preschoolers (N = 610; French) explain differences in achievement. Replicating and extending previous research, the results revealed that children invoke more inherent factors (e.g., intelligence) than extrinsic factors (e.g., access to educational resources) when explaining why some children do better in school than…
Descriptors: Preschool Children, Academic Achievement, Individual Differences, Student Attitudes

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