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Yue Huang; Joshua Wilson; Henry May – International Journal of Artificial Intelligence in Education, 2025
Automated writing evaluation (AWE) is an artificial intelligence (AI)-empowered educational technology designed to assist writing instruction and improve students' writing proficiency. The present study adopted a quasi-experimental design using the inverse probability of treatment weighting method to explore the long-term effects of an AWE system…
Descriptors: Writing Evaluation, Automation, Computer Uses in Education, Artificial Intelligence
Hirata, Guilherme; Rocha e Oliveira, P. – Education Economics, 2019
This paper analyzes the lasting impacts of a project aimed at teaching children how to read and write at age 6. Using a Difference-in-Differences methodology, the results show that it is not enough to get children literate at age 6 to secure lasting effects; the instruction process is also an important factor: Only pupils exposed to the Phonics…
Descriptors: Instructional Effectiveness, Phonics, Elementary School Students, Language Tests
Peer reviewedEdwards, Viviane – Canadian Modern Language Review, 1985
The development of an oral language proficiency rating scale for use in evaluating New Brunswick's junior and senior high school students' core French program achievement is described and discussed. (MSE)
Descriptors: Foreign Countries, French, Language Proficiency, Language Tests
Peer reviewedO'Malley, J. Michael – NABE: The Journal for the National Association for Bilingual Education, 1982
The 1978 Children's English and Services Study (United States) contains five findings for limited English proficient children aged 5-14, e.g., one-third are served by bilingual education/English (second language); Federal and state support for special types of instruction are received predominantly by limited English proficient children within the…
Descriptors: Bilingual Education Programs, Bilingual Students, Children, Elementary Secondary Education

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