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Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Wong, Kevin M.; Neuman, Susan B. – Grantee Submission, 2019
Educational media is ubiquitous in the lives of young children, promising high-quality programming to equip them with vocabulary knowledge and school readiness. To meet the needs of preschool-aged dual-language learners (DLLs), many educational programs are marketed to promote vocabulary learning in two languages. In this study, we use a content…
Descriptors: Vocabulary Development, Spanish, Mandarin Chinese, Content Analysis