Section A: Project Information
EduSpark AI agent reconstructs the personalized learning experience through its interest-driven dual-loop cognitive architecture, lightweight deployment of edge computing, and cultural adaptation engine. Its core value lies in upgrading AI from a "standardized tool" to a "cognitive coach," enhancing learning efficiency while promoting educational equity and innovative talent cultivation, and providing a sustainable and inclusive solution for the global edtech market.
Section B: Participant Information
Title | First Name | Last Name | Organisation/Institution | Faculty/Department/Unit | Phone Number | Contact Person / Team Leader | |
---|---|---|---|---|---|---|---|
Miss. | Xin | Wen | The Hong Kong University | Education | u3633557@connect.hku.hk | 8618825183887 | |
Mr. | Qikang | Peng | The Hong Kong Polytechnic University | Business | pengqikang16@163.com | 8613823581781 |
Section C: Project Details
We’re not just building an AI tool—we’re redefining how education scales. By combining cutting-edge AI efficiency with cultural relevance, we aim to ensure every student, whether in Shanghai’s skyscrapers or Tibet’s grasslands, receives a personalized, high-quality education. Our AI agent balances emotional appeal (rural student stories), academic rigor (cited studies), and business acumen (cost-benefit analysis), positioning EduSpark as a socially impactful, technically sound solution poised for scalable success. The future of AI in education isn’t about replacing teachers—it’s about empowering them to focus on what matters most: inspiring minds.
EduSpark leverages multimodal LLMs(DeepSeek-EDU) and knowledge graphs to dynamically align content with curriculum standards (98.7% cross-version accuracy). RAG/KAG ensures responses are anchored to authoritative sources, while reinforcement learning optimizes personalized learning paths (35% efficiency gain). Edge computing enables offline, low-latency interactions (<150ms). Prompt engineering embeds pedagogical strategies (e.g., Socratic questioning).
EduSpark constructs a technologically feasible, economically inclusive, and socially significant AI education solution through its triple innovation of **"edge computing + cultural adaptation + gamified design"**. Its success relies on:
Technical depth: Edge deployment with Jetson Nano ensures privacy compliance and low latency.
Ecosystem collaboration: Hardware partnerships with Huawei/ iFLYTEK reduce supply chain risks.
Policy benefits: Alignment with the smart campus construction goals of the "China Education Modernization 2035" initiative.
In the competition, it is recommended to highlight the **"technology-policy-market" triangular validation model**, demonstrating a complete closed loop from lab to market through pilot school data and endorsements from partners.
Validation includes user surveys, retention rates, and ROI analysis for schools. This approach balances innovation with practical scalability, addressing equity and efficiency gaps in education.
No need to answer.
EduSpark revolutionizes AI education by addressing three critical gaps—data sparsity, cultural mismatch, and infrastructure limitations—through three-dimensional innovation:
1.Edge Computing + Dynamic Knowledge Graphs;
2.Multimodal Fusion for Cultural Adaptation;
3.Teacher-Centric Ecosystem.
By merging edge AI, cultural adaptability, and teacher empowerment, EduSpark transforms rural education into a culture-first, community-driven platform, proving innovation thrives when it listens to local needs and partners with educators.
EduSpark’s technology-society-ecology triad ensures scalability through modular design, sustainability via edge computing, and adaptability through real-time AI feedback. By partnering with Huawei for hardware distribution and UNESCO for cultural content validation, we create a self-reinforcing ecosystem capable of scaling to 1 million+ users in 5 years while maintaining a carbon-neutral footprint.
EduSpark directly tackles three pressing social issues:
1.Educational Inequality;
2.Cultural Exclusion;
3.Infrastructure Barriers.
By combining technology accessibility, cultural sensitivity, and participatory design, EduSpark transforms education from a privilege into a right. Our metrics-driven approach ensures accountability, while adaptive partnerships guarantee long-term relevance in a rapidly changing educational landscape.
Personal Information Collection Statement (PICS):
1. The personal data collected in this form will be used for activity-organizing, record keeping and reporting only. The collected personal data will be purged within 6 years after the event.
2. Please note that it is obligatory to provide the personal data required.
3. Your personal data collected will be kept by the LTTC and will not be transferred to outside parties.
4. You have the right to request access to and correction of information held by us about you. If you wish to access or correct your personal data, please contact our staff at lttc@eduhk.hk.
5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
- I have read and agree to the competition rules and privacy policy.