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An educational technology platform centred on generative artificial intelligence, integrating teaching, learning and research
We believe technology can make education warmer and more effective
Every feature is designed around the core question: 'How does this help learners?', ensuring that technology genuinely serves educational goals.
Use Educational Omics multimodal data integration to analyse Learning history in a scientific way and optimise teaching outcomes.
AI is a partner in learning, not a replacement, guiding Students’ thinking through Socratic Dialogue and fostering independent critical thinking.
A research infrastructure shared across academia, not another commercial platform, and not something every university needs to build again from scratch
Generative AI has already permeated teaching, writing, search and knowledge production, and is difficult to turn away from. To answer questions such as “why are 74% of Gen Z using AI, yet 79% feel they have become lazier” (Lira et al., 2026, Gallup), longitudinal conversational data is needed, and commercial platforms do not make this layer of data available to researchers. Uedu's Educational Omics framework is built on this right of observation, with the aim of keeping the lead in learning research within educational academia rather than allowing a single vendor to define what AI literacy should look like (Pangrazio, 2026).
Academic infrastructure needs scale — arXiv, ORCID and OpenAlex are examples of platforms shared across institutions rather than built repeatedly by each one. Uedu has already deployed multiple integration modules, passed Umbrella IRB (202507EM058), accumulated a cross-university research stack, and produced multiple international publications. For a new university to rebuild all this from scratch would take years and involve substantial duplicated effort; more importantly, each institution working in isolation fragments the cross-university research community, making comparative learning research impossible. Uedu is the only platform in Taiwan that enables multiple institutions to share the same methodology and the same ethical framework.
Partner universities have dedicated subdomains (such as ntu.uedu.tw and nc.uedu.tw); the entry page displays the school name in text and does not use school crests or other official visual identifiers. The platform adopts a BYO-LLM architecture, so schools can bring their own model keys and API costs are not passed on; learning interaction data does not enter any model vendor's training corpus; cross-school comparative research requires separate authorisation from each school's IRB. Students use it free of charge. The platform accepts only donations and corporate sponsorship, charges neither students nor schools, and does not depend on any single commercial vendor.
The model layer is provided by commercial large language models, and each university is free to choose OpenAI, Vertex AI, Gemini or other sources — the model is a brick in the infrastructure, not a research contribution. The framework layer is jointly maintained by the Uedu academic community, including the Educational Omics theory, UCG cognitive toolkit, Chat as Learning observation method, IRB templates and assessment design — this is a layer worth co-building across universities. The data layer is governed autonomously by each partner university; student data, teaching content and derived analyses at each school are protected jointly by that university's IRB and the three-tier Uedu permissions framework.
Integrate multiple subsystems to provide a complete educational technology solution
Build a dedicated AI TA for every Course, supporting both Socratic Dialogue and open-ended Q&A modes.
Learn MoreIntegrates Garmin wearable data to analyse heart rate variability, sleep quality and stress index.
Learn MoreProvides well-being assessment tools for students and teachers, supporting emotional management and stress adjustment.
Learn MoreProvides 14 AI-integrated assessment methods, supporting diversified evaluation of learning outcomes.
Learn MoreProvides tools for live interaction, voting, discussion, and more, enhancing classroom engagement and learning motivation.
Learn MoreSupports English-medium teaching scenarios, providing bilingual teaching support resources for teachers and students.
Learn MoreProvides access to the Educational Omics Data Lake, supporting research into multimodal learning data.
Learn More
National Central University Center for General Education
Research specialisms: educational technology, AI applications, multimodal learning analytics
Develop a cross-dimensional integrated theoretical framework for learning analytics, incorporating the six dimensions of cognition, physiology, social, environment, language, and ethics into learning science research.
How research uses large language models to conduct Socratic teaching dialogues and cultivate Students' critical thinking and self-directed learning abilities.
Explore the relationship between wearable physiological data (HRV, sleep, stress) and learning outcomes.
Develop AI-based mental and physical health assessment and support tools to promote learners' overall wellbeing.
All research activities on this platform undergo formal ethical review, with the IRB framework disclosed publicly to protect the informed rights of teachers and students.
The platform adopts the Umbrella IRB integrated research ethics framework, covering all retrospective and prospective data analysis activities on the platform, and uses a three-tier structure (A/B/C) to distinguish researchers' access rights to data, thereby safeguarding user privacy and autonomy.
Approval no. 202507EM058 | Approval date 10 April 2026 | Project leader Assistant Professor Chia-Kai Chang
Research funding is cyclical. The funding Uedu received in 2026 has been greatly reduced compared with last year, while the platform continues to expand into new settings. Stable external resources are key to sustaining long-term services.
We welcome businesses and foundations to support specific research themes or feature development through sponsorship, industry-academia collaboration, naming rights projects, and similar forms of support.
Each university can adopt Uedu quickly through a subdomain structure; please get in touch about university-level partnership and licensing options.
Donate through the official channel of the National Central University Endowment Fund and a tax-deductible receipt can be issued for itemised deductions.
Whether for Course collaboration, research consultation or technical support, we warmly welcome your email.
[email protected]Center for General Education, National Central University | 300 Zhongda Road, Zhongli District, Taoyuan City