Training and integrating multiplatform AI for asynchronous language support delivery via Learning Mall

Research output: Contribution to journalArticle

Abstract

This project explored the integration of multiple AI platforms into the university’s virtual learning environment (Learning Mall) to deliver asynchronous language and academic skills support for second-year EAP students studying with the School of Advanced Technology. The design combined generative AI tools, gamified H5P activities, and two customized chatbots: one academic-focused (“Cork the Wisdom Bot”) and one conversational (“Sara the Classmate Bot”). These components were embedded into a single page to create an interactive, multimodal learning experience. XIPUAI and other platforms were employed to extract course content, generate quiz items, design themed narratives, and support aesthetic choices. The project demonstrated how AI can streamline materials creation, enhance learner autonomy, and promote regular engagement beyond class time. Limitations, such as platform restrictions and the need for human oversight, were also identified. This initiative provides a replicable model for embedding AI-driven language support into digital learning ecosystems, and future studies may further examine learning outcomes, student engagement, and AI literacy development.
Original languageEnglish
JournalCentre for Educational Innovation and Excellence (CEIE)
Publication statusPublished - 23 Jul 2025

Keywords

  • AI in education; asynchronous learning; H5P; chatbot; gamification; virtual learning environment (VLE); English for Academic Purposes (EAP); autonomous learning; generative AI; student engagement

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