In large university classes, it is quite common for students, particularly those who are naturally shy, to remain quiet and refrain from active participation. Many of these students experience anxiety when it comes to delivering speeches or presentations to a large audience, often feeling overwhelmed by the dynamic and intimidating atmosphere of the lecture hall. Despite these challenges, mastering oral communication and presentation skills is a key competency for university students today. These abilities are not only essential soft skills but are also highly sought after in the professional world, particularly for new graduates stepping into the workforce. 

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A common challenge for pre-service teachers is the difficulty of integrating theory into practice, often resulting in discrepancies between their instructional ideas and actual classroom outcomes. Many pre-service teachers (PSTs) find themselves being “over-ambitious” setting objectives that are too difficult without providing appropriate scaffolding for their students. 

“Plan Master AI acts like a “GPS for Lesson Design”: while the teacher remains the driver of the classroom, the AI provides a reliable map that flags missed turns in logic and ensures the “educational vehicle” is properly equipped to reach every student, regardless of the terrain.” Prof. Elizabeth Loh from the Faculty of Education.

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Effective clinical handovers are vital for seamless patient care and strong teamwork in healthcare. 

To build essential skills, competence and confidence, Nursing students benefit greatly from realistic, interactive practice. The AI-Enhanced Virtual Reality Simulation System in Nursing practice, co-created by the innovative team led by Dr. Maggie Chan*, Dr. Benney Wong, Mr. Abraham Wan at the School of Nursing, and Dr. Carson Hung and Mr. Ziv Tai at TALIC, were designed to prepare nursing students for professional nursing communications through cutting edge simulation technology.

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The landscape of educational technology is fast evolving in the age of Artificial Intelligence, invigorating the emergent trend of human-AI collaboration in instructional design. The human-AI collaborative approach leverages AI’s capabilities to supplement instructor productivity and creativity, transforming how teachers and instructional designers create and curate contents in the intelligent immersive learning environment.

Artificial intelligence is well suited to address teachers’ diverse needs by supporting individual students’ learning progress, delivering timely feedback on students’ work, gaining insights from student analytics to enhance interactivity, as well as generating content tailored to specific learning contexts and scenarios to improve students’ learning experiences (Wen et al., 2025).  

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HKU’s CAES1001 virtual reality (VR) platform offers interactive learning by seamlessly connecting CAES, HKUL, and TALIC materials to engage students in self-learning and build academic literacies through digital innovation.

CAES1001 VR Platform

Interactive learning on a VR platform to familiarize new students with CAES resources

CAES1001, a first-year Academic English course, is working with the University of HongKong Libraries (HKUL) and the Teaching and Learning Innovation Centre (TALIC) to launch a virtual reality (VR) self-learning platform. This innovative project aims to enhance learning for first-year undergraduates by offering engaging and interactive experiences. Through the platform, students can develop essential skills such as writing, speaking, digital, visual, and AI literacy, with resources tailored to HKU’s diverse student community. 

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