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Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
Cummings, Alycia E.; Barlow, Jessica A. – Clinical Linguistics & Phonetics, 2011
The goal of this research programme was to evaluate the role of word lexicality in effecting phonological change in children's sound systems. Four children with functional speech sound disorders (SSDs) were enrolled in an across-subjects multiple baseline single-subject design; two were treated using high-frequency real words (RWs) and two were…
Descriptors: Language Processing, Generalization, Phonology, Diagnostic Tests
Coleman, Edmund B. – Journal of Verbal Learning and Verbal Behavior, 1979
Presents two experiments which demonstrate that language-generalization tests should tend to decrease Type 2 errors. (AM)
Descriptors: Correlation, Error Patterns, Evaluation Methods, Experimental Psychology
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection