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Total Citations
2
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About
Lei Du is a prominent researcher at the intersection of educational technology and second language acquisition, with a particular focus on how coding and computational thinking can enhance English as a Foreign Language (EFL) learning. In their landmark 2025 study, Du conducted a rigorous pretest-posttest experimental design involving 351 EFL learners to investigate the comparative impact of educational robotics, virtual coding, and unplugged coding on students’ problem-solving abilities, computational thinking, and coding skills. This work, already garnering 2 citations shortly after publication, represents a pioneering effort to bridge STEM education with language pedagogy. Du’s major contribution lies in empirically demonstrating that hands-on, technology-mediated approaches—especially robotics—can significantly boost cognitive and linguistic outcomes simultaneously. By systematically comparing three distinct instructional modalities, Du provides educators with actionable insights for integrating computational thinking into language curricula. Their research not only advances theoretical understanding of cross-disciplinary learning but also offers practical frameworks for classroom implementation. Du’s work is essential reading for scholars and practitioners interested in innovative, skills-based language instruction that prepares students for a digitally driven world.
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