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Gwendolyn Hildebrandt – ProQuest LLC, 2024
How can syntactic and learnability analyses inform each other, and thus deepen our understanding of syntax and its acquisition? This dissertation illuminates this question through three case studies in Korean syntax. I examine cases in which two structures that display distinct syntactic properties share extremely similar surface forms, thus…
Descriptors: Syntax, Korean, Cues, Generalization
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Hadar Ram; Guy Grinfeld; Nira Liberman – npj Science of Learning, 2024
We show that learners generalized more broadly around the learned stimulus when they expected more variability between the learning set and the generalization set, as well as within the generalization set. Experiments 1 and 3 used a predictive learning task and demonstrated border perceptual generalization both when expected variability was…
Descriptors: Generalization, Predictor Variables, Learning Processes, Correlation
Daoxin Li – ProQuest LLC, 2024
During language acquisition, children are tasked with the challenge of determining which words can appear in which syntactic constructions. This has been long recognized as a learnability paradox. On one hand, there are generalizations that children must learn. On the other hand, language is known for its arbitrariness, so children also need to…
Descriptors: Generalization, Language Acquisition, Syntax, Word Recognition
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Kenny Yu; Wolf Vanpaemel; Francis Tuerlinckx; Jonas Zaman – npj Science of Learning, 2024
Perception and perceptual memory play crucial roles in fear generalization, yet their dynamic interaction remains understudied. This research (N = 80) explored their relationship through a classical differential conditioning experiment. Results revealed that while fear context perception fluctuates over time with a drift effect, perceptual memory…
Descriptors: Generalizability Theory, Generalization, Fear, Learning Processes
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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
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Yuan Liu; Shuaifei Huang; Weiguo Xu; Zhuang Wang; Dong Ming – npj Science of Learning, 2024
Generalization is central to motor learning. However, few studies are on the learning generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine interaction training, and no studies have explored its longitudinal neuroplasticity mechanisms. Here, 20 healthy right-handed participants were recruited and randomly assigned…
Descriptors: Man Machine Systems, Robotics, Brain Hemisphere Functions, Psychomotor Skills
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Jessica L. Paranczak; Joseph M. Lambert; Jennifer R. Ledford; Bailey A. Copeland; M. Janey Macdonald – Journal of Applied Behavior Analysis, 2024
Recommendations for achieving generalized instructional outcomes often overlook the capacity for generative learning for most verbally competent humans. Four children (ages 5-8) participated in this project. In Study 1, we provided decontextualized discrete trial teaching to establish arbitrary relations between colors, pictures of characters, and…
Descriptors: Applied Behavior Analysis, Teaching Methods, Behavior Modification, Instructional Effectiveness
Jessica Lee Paranczak – ProQuest LLC, 2024
Recommendations for achieving generalized instructional outcomes often overlook the capacity for generative learning. We sought to demonstrate how decontextualized and logically organized instruction would lead to derived and contextually appropriate recombinative generalization and arbitrarily applicable relational responding (AARRing) in…
Descriptors: Generalization, Children, Intellectual Disability, Developmental Disabilities
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Eva Viviani; Michael Ramscar; Elizabeth Wonnacott – Cognitive Science, 2024
Ramscar, Yarlett, Dye, Denny, and Thorpe (2010) showed how, consistent with the predictions of error-driven learning models, the order in which stimuli are presented in training can affect category learning. Specifically, learners exposed to artificial language input where objects preceded their labels learned the discriminating features of…
Descriptors: Symbolic Learning, Learning Processes, Artificial Intelligence, Prediction
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Sarah Berger; Laura J. Batterink – Developmental Science, 2024
Children achieve better long-term language outcomes than adults. However, it remains unclear whether children actually learn language "more quickly" than adults during real-time exposure to input--indicative of true superior language learning abilities--or whether this advantage stems from other factors. To examine this issue, we…
Descriptors: Child Language, Language Acquisition, Learning Processes, Language Skills
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Eliza L. Congdon; Elizabeth M. Wakefield; Miriam A. Novack; Naureen Hemani-Lopez; Susan Goldin-Meadow – Cognitive Science, 2024
Gestures--hand movements that accompany speech and express ideas--can help children learn how to solve problems, flexibly generalize learning to novel problem-solving contexts, and retain what they have learned. But does it matter who is doing the gesturing? We know that producing gesture leads to better comprehension of a message than watching…
Descriptors: Nonverbal Communication, Predictor Variables, Learning Processes, Generalization
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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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Sophia C. Weissgerber; Denia Indah Permatasari Terhorst; Ralf Rummer – Metacognition and Learning, 2024
According to an aptitude-treatment interaction experiment (Lehmann et al., "Metacognition and Learning, 11," 89-105, 2016, N = 47, published in "Metacognition and Learning"), perceptually disfluent texts facilitated retention and comprehension performance (but not transfer performance) only for learners with higher working…
Descriptors: Short Term Memory, Metacognition, Generalization, Retention (Psychology)
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Raz Harel; Shai Olsher; Michal Yerushalmy – Research in Mathematics Education, 2024
Conjectures are a key component of mathematical inquiry, a process in which the students raise conjectures, refute or dismiss some of them, and formulate additional ones. Taking a design-based research approach, we formulated a design principle for personal feedback in supporting the iterative process of conjecturing. We empirically explored the…
Descriptors: Mathematics Instruction, Teaching Methods, Feedback (Response), Thinking Skills