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Leah L. Kapa; Heidi M. Mettler – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Our goal was to compare statistical learning abilities between preschoolers with developmental language disorder (DLD) and peers with typical development (TD) by assessing their learning of two artificial grammars. Method: Four- and 5-year-olds with and without DLD were compared on their statistical learning ability using two artificial…
Descriptors: Preschool Children, Developmental Delays, Language Impairments, Grammar
Abolghasem, Zahra; Teng, Tiffany H.-T.; Nexha, Elida; Zhu, Cherrie; Jean, Cindy S.; Castrillon, Mariana; Che, Eric; Di Nallo, Eva V.; Schlichting, Margaret L. – Developmental Science, 2023
Even once children can accurately remember their experiences, they nevertheless struggle to use those memories in flexible new ways--as in when drawing inferences. However, it remains an open question as to whether the developmental differences observed during both memory formation and inference itself represent a fundamental limitation on…
Descriptors: Memory, Inferences, Learning Processes, Young Children
Solange Denervaud; David A. Tovar; Jean-François Knebel; Emeline Mullier; Yasser Alemán- Gómez; Patric Hagmann; Micah M. Murray – Mind, Brain, and Education, 2024
Error-monitoring is a crucial cognitive process that enables us to adapt to the constantly changing environment. The anterior cingulate cortex (ACC) plays a vital role in error-monitoring, and its prolonged maturation suggests that it can be influenced by experience-dependent plasticity. To explore this possibility, we collected morphometric…
Descriptors: Error Correction, Children, Montessori Schools, Traditional Schools
Chierchia, Gabriele; Soukupová, Magdaléna; Kilford, Emma J.; Griffin, Cait; Leung, Jovita; Palminteri, Stefano; Blakemore, Sarah-Jayne – Developmental Science, 2023
Understanding how learning changes during human development has been one of the long-standing objectives of developmental science. Recently, advances in computational biology have demonstrated that humans display a bias when learning to navigate novel environments through rewards and punishments: they learn more from outcomes that confirm their…
Descriptors: Reinforcement, Learning Processes, Developmental Stages, Adolescents
Xiying Li; Huixin Chai; Wanru Cao; Xin Zhao; Zhongling Pi – Education and Information Technologies, 2025
With the increase in life expectancy and the rapid advancement of digital technology, older adults often face challenges where formal learning opportunities are scarce. Consequently, they are compelled to rely on instructional videos for continuous learning. However, many older adults struggle with low self-efficacy and motivation. Although…
Descriptors: Instructional Design, Video Technology, Instructional Films, Older Adults
Dylman, Alexandra S.; Champoux-Larsson, Marie-France – Applied Cognitive Psychology, 2022
Learning new information constitutes a fundamental part of children's school years. Recently, studies have found beneficial effects of emotion on learning and memory. Here, we specifically examined the effect of positive emotional prosody on content learning in two groups of Swedish school children (ages 8-10 and 11-13 years). The participants…
Descriptors: Children, Foreign Countries, Auditory Stimuli, Age Differences
Maksym Halchenko; Alyona Malynoshevska; Nataliia Belska; Maryna Melnyk – School Psychology, 2024
The article examines the results of a study of the resilience of teachers, students, and their parents 2 months after the start of a full-scale war in Ukraine. The total number of respondents who took part in the study is 14,556. There are employees of educational institutions (29%), students (22.41%), and parents (48.22%) from all regions of…
Descriptors: Foreign Countries, War, Youth, Parents
Anqi Hu – ProQuest LLC, 2024
Statistical learning (SL), the ability to detect and extract regularities from inputs, has been considered as an early-maturing and domain-general mechanism that is critical for typical language development. However, recent evidence in neurotypical adults and children have found that individuals can vary in their SL abilities across linguistic and…
Descriptors: Language Acquisition, Attention, Learning Processes, Age Differences
E. Helin Yaban; Robert Gaschler – Higher Education: The International Journal of Higher Education Research, 2025
The rise of technological advancements and the pandemic have made distance education increasingly prevalent, demanding high levels of self-regulation. This research addresses the integration of three core developmental regulation models of lifespan development and the motivators proposed by self-determination theory. Although regulation models are…
Descriptors: Foreign Countries, Undergraduate Students, Young Adults, Adults
Yiyi Chen; Zihe Ding – Education and Information Technologies, 2024
Digitalization can potentially benefit the creative and cognitive development of children. This study aims to analyze this impact on a sample of preschool children. A total of 80 preschoolers were divided into four groups based on their age and program variables: there were two groups (control and training) of children aged 3 to 4 years and two…
Descriptors: Preschool Children, Young Children, Educational Technology, Technology Uses in Education
Brod, Garvin; Shing, Yee Lee – Mind, Brain, and Education, 2022
Humans accumulate knowledge throughout their entire lives. In what ways does this accumulation of knowledge influence learning of new information? Are there age-related differences in the way prior knowledge is leveraged for remembering new information? We review studies that have investigated these questions, focusing on those that have used the…
Descriptors: Age Differences, Prior Learning, Brain Hemisphere Functions, Memory
Regina Sutarmina; Jamie Costley; Anna Gorbunova; Christopher Lange – Education and Information Technologies, 2025
This study examines relationships among several variables within the context of online learning in higher education including self-regulated effort, maintained situational interest, gender differences, and age-related factors. Analyzing data from a diverse Open Cyber University of Korea student sample, the research highlights a positive…
Descriptors: Online Courses, Learning Motivation, Metacognition, Age Differences
Nicole R. Scalise; Isabella M. Santiago; Elizabeth A. Canning – Journal of Numerical Cognition, 2025
Early math experiences predict children's later math abilities and beliefs. However, less is known about longer-term associations between early childhood math experiences and adult math outcomes. The present study examined emerging adults' earliest memories of mathematics and reading experiences, asking whether characteristics of their early…
Descriptors: Mathematics Education, Learning Processes, Age Differences, Memory
Viridiana L. Benitez; Ye Li – Language Learning and Development, 2024
Cross-situational word learning, the ability to decipher word-referent links over multiple ambiguous learning events, has been documented across development and proposed to be key to vocabulary acquisition. However, this work has largely focused on learning from one-to-one structure, where each referent is consistently linked with a single label.…
Descriptors: Vocabulary Development, Preschool Children, Young Children, Adults
Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level

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