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Man Kit Lee, Stephen; Liu, Hey Wing; Tong, Shelley Xiuli – Scientific Studies of Reading, 2023
Purpose: Dyslexia is characterized by its diverse causes and heterogeneous manifestations. Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits across character and radical levels when writing. However, whether character dictation can be used to distinguish children with dyslexia from their typically developing…
Descriptors: Foreign Countries, Dyslexia, Disability Identification, Artificial Intelligence
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Yang, Zongkai; Yang, Juan; Rice, Kerry; Hung, Jui-Long; Du, Xu – IEEE Transactions on Learning Technologies, 2020
This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…
Descriptors: Distance Education, At Risk Students, Artificial Intelligence, Man Machine Systems
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McBride-Chang, Catherine; Ho, Connie Suk-Han – Journal of Educational Psychology, 2000
Measures of phonological processing, speech perception, and Chinese character recognition were administered to Hong Kong Chinese three and four year-olds. A model predicting phonological awareness from vocabulary, short-term memory, and speech perception was supported. Both phonological awareness and letter naming predicted unique variance in…
Descriptors: Character Recognition, Emergent Literacy, Foreign Countries, Models
Tallman, Oliver H. – 1970
A digital simulation of a model for the processing of visual images is derived from known aspects of the human visual system. The fundamental principle of computation suggested by a biological model is a transformation that distributes information contained in an input stimulus everywhere in a transform domain. Each sensory input contributes under…
Descriptors: Artificial Intelligence, Character Recognition, Computer Programs, Cybernetics
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Taghva, Kazem; And Others – Information Processing & Management, 1996
Reports on the performance of the vector space model in the presence of OCR (optical character recognition) errors in information retrieval. Highlights include precision and recall, a full-text test collection, smart vector representation, impact of weighting parameters, ranking variability, and the effect of relevance feedback. (Author/LRW)
Descriptors: Analysis of Variance, Character Recognition, Feedback, Full Text Databases