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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
Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Andéol Cadic-Melchior; Henning Müller; Roger Schaer; Leonardo G. Cohen; Friedhelm C. Hummel – npj Science of Learning, 2024
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and…
Descriptors: Age Differences, Neurosciences, Prediction, Brain
David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
Erin Conwell; Jesse Snedeker – Language Learning and Development, 2024
Natural languages contain systematic relationships between verb meaning and verb argument structure. Artificial language learning studies typically remove those relationships and instead pair verb meanings randomly with structures. Adult participants in such studies can detect statistical regularities associated with words in these languages and…
Descriptors: Semantics, Cues, Verbs, Adults
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
Shakhlo Nematova – ProQuest LLC, 2024
Prior research has extensively explored audiovisual speech perception and literacy skills in various linguistic contexts. Studies have shown that children's ability to integrate auditory and visual speech cues plays a crucial role in language acquisition and development (Erdener & Burnham, 2013; Lalonde & Werner, 2021). Furthermore,…
Descriptors: Bilingualism, Monolingualism, Speech Communication, Phonological Awareness