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Toward designing translanguaging learning environments with multimodal technologies
Dissertation   Open access

Toward designing translanguaging learning environments with multimodal technologies

Xiaoyu Tang
University of Iowa
Doctor of Philosophy (PhD), University of Iowa
Spring 2026
DOI: 10.25820/etd.008349
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Abstract

This dissertation examines how multilingual learners (MLs) make sense of a complex biology concept in a learning environment designed to integrate fluid-language instruction informed by translanguaging pedagogy with embodied, multimodal technologies. Disciplinary science learning in U.S. higher education presents distinctive linguistic and representational demands for students whose first language is not English. In response, this study investigates how fluid-language instruction, paired with embodied and multimodal technologies, can expand MLs’ opportunities for disciplinary sense-making. Ten Mandarin-speaking international graduate students in biology-related fields participated in think-aloud learning sessions using the embodied, multimodal technologies, across two instructional language conditions (English-only vs. Fluid-language instruction). Using translanguaging-informed multimodal conversation analysis, the study traces how learners coordinate talk, gesture, and interaction with multiple representations in real time while explaining observations and coordinating ideas. Findings indicate that in a multimodal technology-enhanced translanguaging learning environment: (1) learners drew on an intertwined semiotic repertoire—linguistic, embodied, and representational—where the design features of the environment shaped what resources were taken up and how they were coordinated; (2) fluid-language instruction supported MLs’ conceptual understanding of the disciplinary science concept by enabling deeper epistemic engagement and more flexible use of linguistic resources than English-only instruction; and (3) evidence of conceptual understanding was prompt-dependent, with process explanation prompts eliciting students’ recognition of electrical potentials–––an aspect that they often overlooked––––more than perceptual prompts. This dissertation offers design implications for STEM instruction in higher education by showing how language policy, task structure, and embodied technologies can be coordinated to support MLs’ scientific sense-making.

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