Kexin Li

2 articles
University of Hong Kong ORCID: 0000-0002-9479-2963

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  1. AI-assisted vibe coding with Base44: Creating personalized tools for argumentative writing ↗
    Abstract

    Existing scholarship abounds in pedagogical efforts to leverage the advantages of GenAI to support argumentative writing. Yet, these efforts have mainly positioned learners as consumers of GenAI feedback and support on writing, which is often associated with concerns of cognitive atrophy and metacognitive laziness. The emergence of AI-assisted vibe coding makes it possible for learners to play a more active role in creating personalized AI solutions. The repositioning of learners’ roles in relation to GenAI may induce deeper cognitive processing and greater metacognitive engagement. This article introduces AI-assisted vibe coding, a novel no-code development approach that enables learners as technology creators by designing and developing their own personalized argumentative writing tools. We present Base44, a full-stack, AI-powered platform that facilitates this process, and illustrate how students can leverage it to create personalized tools for addressing authentic argumentative writing challenges through concrete workflow examples. We explore the potential of integrating AI-assisted vibe coding into argumentative writing instruction, examine its limitations, and offer directions for future teaching practice and research.

    doi:10.1016/j.asw.2026.101076
  2. Conceptual, rhetorical and linguistic transformations: Assessing L2 literature review writing using simulated tasks ↗
    doi:10.1016/j.asw.2026.101013