Hong Kong as a Living Lab for AIED Research-to-Practice Translation

This mock summary describes a workshop paper that directly aligns with the AIEDHK mission. The paper proposes that Hong Kong can become a living lab for AI in Education research-to-practice translation. The argument is based on the city's multilingual education environment, international research connections, dense school networks, strong digital infrastructure, and proximity to broader Asian education markets. The authors do not present Hong Kong as a simple technology marketplace. Instead, they frame it as a place where research can be interpreted, piloted, governed, and translated into responsible products.

The paper outlines a four-layer living lab model. The first layer is research intelligence: continuously tracking AIED journals, conferences, datasets, and policy developments. The second layer is design translation: turning research findings into product hypotheses, teacher workflows, and evaluation plans. The third layer is school-based piloting: working with teachers and learners to test tools in realistic contexts. The fourth layer is evidence and governance: documenting outcomes, risks, privacy practices, and implementation conditions.

A major theme is bilingual and multilingual education. Many AI education tools are first developed for English contexts, while schools in Hong Kong and Greater China often require English, Cantonese, Traditional Chinese, Simplified Chinese, and cross-language learning support. This creates both a challenge and an opportunity. AIED systems need careful language validation, culturally appropriate feedback, and teacher control over translation and explanation. If Hong Kong can develop strong evaluation protocols for multilingual AIED, it can contribute knowledge that is valuable beyond the city.

The paper also emphasizes product ecosystems. Research translation requires more than academic publication. It requires entrepreneurs, school leaders, teachers, engineers, designers, policymakers, and students. A platform such as AIEDHK can serve as a shared knowledge base where papers are summarized, opportunities are mapped, and pilots are documented. The authors recommend lightweight public summaries, deeper technical notes, and private review workflows for school partners.

For AIEDHK, the paper functions almost like a blueprint. It supports the idea that a weekly research news pipeline is not merely content marketing; it is infrastructure for ecosystem learning. By summarizing papers consistently, tagging themes, and connecting insights to products such as MAIS and CAIS, AIEDHK can help Hong Kong build a credible role in the global AIED landscape.