Exploring Students’ Multimodal Representations of Ideas About Epistemic Reading of Scientific Texts in Generative AI Tools
Scientific Literacy
DOI:
10.1007/s10956-024-10182-0
Publication Date:
2024-12-05T04:46:14Z
AUTHORS (4)
ABSTRACT
Abstract As students read scientific texts created in generative artificial intelligence (GenAI) tools, they need to draw on their epistemic knowledge of GenAI as well that science. However, only a few research discussed multimodality methodological approach characterising students’ ideas GenAI-science reading. This study qualitatively explored 44 eighth and ninth graders’ multimodal representations about reading developed an analytical framework based Lemke’s (1998) typology representational meaning, namely presentational, organisational, orientational meanings. Under each several categories were inductively generated while expressed preferences using drawn, written, or both drawn written mode express certain categories. Findings indicate is fruitful semiotic resources meaning-making We suggested implications regarding future intervention studies tracking the this study.
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