Advancing Formative Assessment: Using Natural Language Processing Within a Sociocultural Context to Measure Multilingual Student Science Word Knowledge
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| Vydáno v: | Education Sciences vol. 15, no. 12 (2025), p. 1668-1687 |
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| Hlavní autor: | |
| Další autoři: | , , , , |
| Vydáno: |
MDPI AG
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| On-line přístup: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| Abstrakt: | This study investigates how natural language processing (NLP) can support the assessment and learning of science vocabulary among multilingual and multicultural learners, drawing on data from two federally funded studies in the United States. Students define and use target vocabulary in a sentence, with responses transcribed and scored using NLP tools. Employing a mixed-methods design and guided by established socioecological theoretical frameworks, we examine how students’ sociocultural contexts and background knowledge influence their understanding of science word knowledge and applicability. Our findings highlight both the potential and challenges of using AI tools in equitable and culturally responsive ways, offering insights to improve NPL-based assessment tools that support literacy teaching and learning in diverse student populations. |
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| ISSN: | 2227-7102 2076-3344 |
| DOI: | 10.3390/educsci15121668 |
| Zdroj: | Education Database |