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Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
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Spataro, Pietro; Rossi-Arnaud, Clelia; Longobardi, Emiddia – Infant and Child Development, 2018
Previous research has consistently demonstrated that false-belief (FB) understanding correlates with and predicts metalinguistic ability in preschoolers. Surprisingly, however, there is scant evidence on the question of whether this relation persists at later ages. The present cross-sectional study sought to fill this gap by examining the…
Descriptors: Metalinguistics, Prediction, Phonemes, Receptive Language
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Zhu, Chen; Rehrey, George; Treadwell, Brooke; Johnson, Claudia C. – Journal of College Science Teaching, 2012
This Scholarship of Teaching and Learning project discusses the effectiveness of using distance metaphor-building activities along with a case study exam to help undergraduate nonscience majors understand and apply geologic time. Using action research, we describe how a scholarly teacher integrated previously published and often-used teaching…
Descriptors: Prediction, Science Education, Case Studies, Undergraduate Students
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Buchan, Janet – Journal of Distance Education, 2010
In a case study of a large Australian university the metaphor of panarchy is used as a means of describing and understanding the complex interrelationships of multi-scale institutional projects and the influences of a variety factors on the potential success of e-learning initiatives. The concept of para-analysis is introduced as a management…
Descriptors: Electronic Learning, Figurative Language, Educational Technology, Prediction