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Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
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Paola Uccelli – Grantee Submission, 2023
Language-in-education research can contribute to transformative progress toward educational equity and excellence. Although this assertion is likely uncontroversial within the field of language in education, agreeing on which types of research lead to which transformative progress is much less straightforward. The thought-provoking commentaries on…
Descriptors: Second Language Learning, Second Language Instruction, Bilingualism, Language of Instruction
Gordon, Rachel A.; Peng, Fang – Grantee Submission, 2020
The standard scoring of the CLASS PreK produces three domain scores that are widely used in research, practice and policy. Despite these domains being based on developmental theory and research, limited empirical evidence exists for the three-domain structure as operationalized in the CLASS PreK. Using the 2009 and 2014 Head Start Family and Child…
Descriptors: Preschool Education, Low Income Groups, Federal Programs, Factor Structure
Christine M. Leider; C. Patrick Proctor; Rebecca D. Silverman – Grantee Submission, 2014
The goal of this study was to examine written translation as a means to: a) build on the theoretical notion that a bilingual individual's languages are shared; b) operationalize biliterate ability; and c) propose a new method of assessment for culturally and linguistically diverse students. Drawing from the fields of cognitive psychology and…
Descriptors: Bilingualism, Translation, Written Language, Spanish