
![]() | Institution: | Singapore Univessity of Social Science - Institute for Adult Learning |
| Representative: | Andy, Chua | |
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| Project/Initiative: | The SUSS IAL ClassIn Sandbox project with award-winning social enterprise I’m Soul Inc reflects a strong and purposeful alignment with the eLFA mission, showcasing how technology enabled learning design and community centred approaches can increase outreach to vulnerable, underserved groups, build capability and volunteer retention, lower participation barriers and create meaningful learning opportunities beyond conventional training settings. I’m Soul Inc is the first social enterprise awarded this Sandbox grant, supported by the Singapore government. This project is highly relevant in fast-ageing Asia, socially impactful, educationally significant, enhancing total health, well-being and purposeful longevity, thus well positioned for regional sharing through the eLFA platform. |
![]() | Institution: | The Hong Kong Polytechnic University |
| Representative: | Yi-Teng, Shih | |
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| Project/Initiative: | Addressing Loneliness and Social Isolation in aging Asia, social enterprise I’m Soul Inc uses Soundbeam technology to offer music-based Social Prescriptions. To scale its impact, it became the first social enterprise on the SUSS-IAL ClassIn Sandbox Programme. Utilizing ClassIn, they developed the Purposeful Facilitator Programme (PFP). This initiative trains educated seniors as facilitators, equipping them with music-and-movement skills while offering them "Purposeful longevity". The PFP improves volunteer retention and reaches vulnerable groups through a sustainable, systems-level model. Rolling out in Singapore, Malaysia, and Hong Kong, this project magnifies the healing power of music across the Asia-Pacific. |
![]() | Institution: | The Education University of Hong Kong |
| Representative: | Ka Yan, Fung | |
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| Project/Initiative: | This initiative is a post-trauma emotional support project for students and residents affected by a major fire in Tai Po (Wang Fuk Court) in December 2025. It leverages AI technology and interdisciplinary expertise to provide timely psychological aid. The team developed the "Loving Baby" AI emotional support robot, which uses multilingual interaction and emotion recognition to assess children's psychological states. The project also offers workshops for students, and community support services. Grounded in seven years of empirical research, it combines technology and humanistic care to help children rebuild psychological stability. It has already served over 1,000 students and aims to reach 10,000. |
![]() | Institution: | The Hong Kong Polytechnic University |
| Representative: | Kitty, CHAN | |
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| Project/Initiative: | Virtual Immersive Mentorship Prompt-engineered AI for Communication Training (V-IMPACT-AI) bridges the gap in nursing education by integrating Immersive Virtual Reality (IVR) with AI-assisted prompt engineering. Students navigate realistic clinical scenarios through interactive IVR gameplay, followed by an iterative refinement of their spoken responses using generative AI. This innovative student-led co-creation model fosters a unique sense of ownership and leadership, transforming AI into a lifelong tool for professional growth. Results show that V-IMPACT-AI builds the emotional sensitivity and confidence required for high-stakes care, yielding measurable improvements in communication skills and ensuring graduates are practice-ready for an AI-augmented healthcare landscape. |
![]() | Institution: | The Chinese University of Hong Kong |
| Representative: | Darwin, Lau | |
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| Project/Initiative: | RoboREALM, Robotics Experiential Active Learning in Mixed Reality, advances a new paradigm for undergraduate robotics teaching: students learn fundamentals by moving continuously between models and accountable feedback, rather than separating theory, laboratory work and digital media. Across a decade, MAEG3060 Introduction to Robotics has evolved from lecture-centred delivery into an ecosystem linking mathematical derivations, robot arms, Unity simulations, VR projects and mixed-reality self-learning modules. STEP hands-on lectures first made robot behaviour a feedback carrier for student reasoning; later blended and self-paced layers extended the same cycle. Each medium has a defined role: authenticity, repetition, spatial understanding, preparation, reflection and transfer. |
![]() | Institution: | Hong Kong Baptist University |
| Representative: | Paolo, MENGONI | |
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| Project/Initiative: | AI is here, and its ethical use is critical, but methods to teach it effectively are still evolving. Ethics is traditionally hard to teach because it involves abstract principles that don’t easily connect to real-world consequences. To address this, we developed FRAME, a new approach embedded in a futuristic VR-GPT simulation. F: Frame the context and power dynamics, R: Reconstruct the pipeline and feedback, A: Appraise what’s optimized vs. ignored, M: Mitigate hidden harms, E: Engineer responses with accountability. Results showed strong learner response (81.4% affect; 80% technology efficacy), while gaze and dialogue traces indicated clearer ethical reasoning. |
![]() | Institution: | The Education University of Hong Kong |
| Representative: | Ka Yan, Fung | |
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| Project/Initiative: | This initiative is a post-trauma emotional support project for students and residents affected by a major fire in Tai Po (Wang Fuk Court) in December 2025. It leverages AI technology and interdisciplinary expertise to provide timely psychological aid. The team developed the "Loving Baby" AI emotional support robot, which uses multilingual interaction and emotion recognition to assess children's psychological states. The project also offers workshops for students, and community support services. Grounded in seven years of empirical research, it combines technology and humanistic care to help children rebuild psychological stability. It has already served over 1,000 students and aims to reach 10,000. |
![]() | Institution: | Solomon Learning Group |
| Representative: | Jonathan, Ngai | |
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| Project/Initiative: | Co-designed with over 200 educators and the Hong Kong University of Science and Technology (HKUST) AI Literacy Hub for two years, Goodclass is one of the first fully integrated school AI platforms for teachers and students across all subjects. Now serving over 300 schools and 10,000 users, Goodclass was built through tight closed-loop iterations between educators, researchers, and developers. Goodclass offers over 50 AI tools and workflows covering teaching and learning, assessment, student support and school administration, with signature student modules including Assignment with AI-Analytics, AI Learning Companion, and Learning Journals as an integrated system powered by multi-LLM capabilities. |
| Institution: | National Central University | |
| Representative: | Chia-Kai, Chang | |
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| Project/Initiative: | Uedu (uedu.tw) is an Educational Omics platform that integrates six dimensions of learning data — Cognomics (AI dialogue and Bloom's Taxonomy analysis), Linguomics (speech-to-text and semantic search), PhysioNeuromics (Garmin wearable HRV/sleep/stress data), Environomics (IoT environmental sensing), Sociomics (AI-scored discussion forums), and Ethicomics (privacy-by-design consent management). Deployed across 17 Taiwanese universities serving 3,400+ users and 224,000+ AI conversations, Uedu provides a holistic, multi-modal understanding of learning beyond traditional digital footprints. The platform features a Trusted Educational Data Lake for research-grade data export, bridging the gap between educational technology and learning science research. |