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Stephanie Fuchs; Alexandra Werth; Cristóbal Méndez; Jonathan Butcher – Journal of Engineering Education, 2025
Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…
Descriptors: Artificial Intelligence, Training, Data Analysis, Natural Language Processing
Omaki, Akira; Davidson White, Imogen; Goro, Takuya; Lidz, Jeffrey; Phillips, Colin – Language Learning and Development, 2014
Much work on child sentence processing has demonstrated that children are able to use various linguistic cues to incrementally resolve temporary syntactic ambiguities, but they fail to use syntactic or interpretability cues that arrive later in the sentence. The present study explores whether children incrementally resolve filler-gap dependencies,…
Descriptors: Sentences, Language Processing, Japanese, English
Wolff, Phillip – Cognition, 2003
This research proposes a new theory of direct causation and examines how this concept plays a key role in the linguistic coding and individuation of causal events. According to the "no-intervening-cause hypothesis," a causal chain can be described by a single-clause sentence and construed as a single event if there are no intervening causers…
Descriptors: Sentences, Linguistics, Cognitive Processes, Language Processing

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