NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Treiman, Rebecca; Hulslander, Jacqueline; Olson, Richard K.; Samuelsson, Stefan; Elwér, Åsa; Furnes, Bjarte; Byrne, Brian – Scientific Studies of Reading, 2023
Purpose: Using data from 1,868 children from the US, Australia, and Sweden who took a 10-word spelling test in kindergarten and a standardized spelling test in Grades 1, 2, and (except for the Australian children) Grade 4, we examined two questions. First, does the quality of a child's errors on the kindergarten test help predict later spelling…
Descriptors: Prediction, Spelling, Kindergarten, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Siegelman, Noam; Rueckl, Jay G.; Lo, Jason Chor Ming; Kearns, Devin M.; Morris, Robin D.; Compton, Donald L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regularities remain relatively understudied, with open questions regarding 3 issues: (a) how O-S…
Descriptors: Orthographic Symbols, Semantics, Reading Skills, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Hu, Chieh-Fang; Maechtle, Cheyenne – Modern Language Journal, 2021
Two studies examined the role of input distribution in English construction learning, by child learners from a Mandarin first-language background, and the extent to which phonological short-term memory and awareness predicted such learning. In the first study, 4th-grade students of Mandarin Chinese (N = 121) learned the English object-cleft…
Descriptors: Linguistic Input, Mandarin Chinese, English (Second Language), Second Language Learning
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