This pilot study introduces MuseAIWrite, an AI-enhanced writing platform designed to support creative writing among postgraduate students in higher education. While AI-powered writing assistants have gained traction in academic support contexts, few systems have been explicitly developed to nurture creativity, goal-directed learning, and metacognitive engagement in university learners—particularly those writing in a second language. MuseAIWrite addresses this gap by integrating Zimmerman’s SRL framework with the cognitive process theory of writing to deliver a pedagogically grounded, interactive digital environment. Learners can receive AI-generated formative feedback, monitor their progress, and reflect on their performance as writers.

The platform combines personalized, GPT-powered feedback with multimodal writing scaffolds, structured goal-setting, and real-time progress tracking to guide students through the forethought, performance, and reflection phases of writing. Technically, MuseAIWrite features a modular architecture built on WordPress with a Node.js backend and leverages Dify to incorporate a domain-specific corpus tailored for tertiary-level learners. The platform scaffolds students through the stages of the writing process using structured prompts and reflective tools tailored for university-level academic and creative writing. Preliminary findings from this pilot implementation suggest that MuseAIWrite enhances student motivation, engagement, and autonomy in writing, particularly among second-language learners. This study discusses the design principles, technical infrastructure, and pedagogical affordances of the platform, along with emerging insights to inform future research and development of AI-assisted writing support in tertiary education. This study highlights the potential of human-AI collaboration to enrich writing pedagogy in higher education and proposes a replicable model for integrating AI tools with evidence-based learning frameworks. Implications for AI literacy, instructional design, and future development are also discussed.

Keywords: AI in Higher Education, Creative Writing, Human-AI Collaboration, Writing Support Tools, ESL Learners.