The Complete Guide to Using AI in the Education Industry in Taiwan in 2025

Why AI matters for education in Taiwan in 2025 is easy to see: national strategy and big money are meeting classroom urgency - a proposed NT$200 billion “AI New Ten Major Construction” and government-led pilots sit alongside the Ministry of Education's push to boost teachers' AI skills, while civil society has launched an ambitious “AI Literacy for All” program that will bring free, locally adapted lessons to 300,000 students and more than 4,400 teachers across one-third of elementary and junior‑high schools (AI Literacy for All Taiwan program).

At the same time, a PACIS study finds a clear mismatch between university AI curricula and market needs - 63% of jobs call for application-focused skills - which is why short, practical options matter.

For educators and staff who need job-ready promptcraft and tool practice, a 15‑week, hands‑on pathway like the AI Essentials for Work course can bridge the gap between policy and classroom impact (PACIS 2025 study on higher education–industry AI alignment, Nucamp AI Essentials for Work course syllabus).

A single vivid fact frames the “so what”: many students already use AI, but fewer than one in four feel they truly understand it - making practical literacy urgent.

“We are thrilled to partner with the CommonWealth Education Innovation Hub to bring this important initiative to Taiwan.” - Professor Cynthia Breazeal

Building on the momentum of major budget proposals and grassroots campaigns, Taiwan's national AI strategy is moving from policy headlines to classroom wires and server racks: the Ministry of Education has been showcasing pilots and teacher‑upskilling projects that help schools adopt AI tools and curricula (Taiwan Ministry of Education AI applications for education pilot programs), while the National Science and Technology Council's draft Basic Act on AI lays out risk‑based governance, data‑openness and principles to guide education, research and industry partnerships (Draft AI Basic Act risk‑based governance summary for Taiwan education).

Practical infrastructure is arriving in parallel: Taiwan's TAIWANIA 2 supercomputer and the locally tuned TAIDE language model are explicit investments to give schools and researchers access to models that understand Traditional Chinese, Taiwanese and Hakka, reducing reliance on foreign LLMs and powering local teaching tools and assessments (MOE AI education initiatives and TAIDE local language model overview).

The result is a national stack - policy, pedagogy and compute - that aims to turn abstract promises into classroom practice, so that tools sit beside teachers rather than replace them (and so students don't learn from models that don't speak their language).

“We are thrilled to partner with the CommonWealth Education Innovation Hub to bring this important initiative to Taiwan.” - Professor Cynthia Breazeal

Taiwan's nationwide “AI Literacy for All” is a practical, equity‑first push to turn casual student use of chatbots into genuine classroom understanding: Day of AI and the CommonWealth Education Innovation Hub (CEIH) will co‑develop and localize free K–9 lessons, teacher workshops and public events to reach 300,000 students and more than 4,400 teachers across roughly one‑third of elementary and junior‑high schools, with a clear emphasis on rural and underserved communities (AI Literacy for All - Day of AI).

The CEIH survey that prompted the program is striking - over 90% of students and teachers have already used AI tools, yet fewer than one in four students and only 12% of teachers say they truly understand how AI works - a gap that risks “AI‑induced skill atrophy” unless classrooms get structured guidance.

Funders and partners (including the LITEON Cultural Foundation and TSMC Education & Culture Foundation) are supporting a three‑year rollout that pairs global, research‑based units with Taiwanese context and language, so lessons reflect local culture and classroom realities; teachers will get hands‑on training to spot risky outputs and help students avoid going “down the wrong path” when models mislead.

For schools, the result promises to be practical: scalable lesson sets, trained educators and community events that move AI from an unsupervised habit into a taught, assessable literacy.

“We are thrilled to partner with the CommonWealth Education Innovation Hub to bring this important initiative to Taiwan.” - Professor Cynthia Breazeal

Taiwan's homegrown Trustworthy AI Dialogue Engine (TAIDE) is quickly becoming the national backbone for locally relevant, classroom‑ready AI: engineered to excel at writing articles, letters and summaries and two‑way Chinese–English translation, TAIDE is grounded in Taiwanese language and culture so models speak students' tongues rather than foreign defaults, and early uptake - one release was downloaded more than 6,000 times in about two weeks - shows real demand for a domestic LLM that can power everything from a Taiwanese Hokkien–English school chatbot to an agricultural “Divine Farmer” search engine and bank internal assistants.

Built through an industry–academia partnership and released in several sizes (commercially available TAIDE‑LX‑7B and research builds including larger LX variants), the project emphasizes licensed data, an expanded Traditional Chinese character set and multi‑turn dialogue for classroom and admin tasks; see the TAIDE official site for public access and the project's technical page for model specs and training details (TAIDE official site, TAIDE project technical page).

The upshot for educators: an open, locally tuned platform that reduces reliance on foreign LLMs, supports Taiwanese languages and gives schools a practical engine to build lesson‑level AI tools and assessment helpers.

“What we have to do is to play smart,” not big. - Lee Yuh‑jye, TAIDE project convener

Higher education is becoming a linchpin for AI-driven learning in Taiwan, where universities are moving from piloting tools to knitting together open courseware, platforms and research partnerships: NYCU's 2025 Taiwan Online Learning Summit drew more than 100 educators and digital-learning experts to debate “New Perspectives on Learning in the Age of AI” and formalize a landmark MOU with the Taiwan Open Courseware and Education Consortium (TOCEC) and Junyi Academy to share digital courseware and improve platform interoperability (NYCU 2025 Taiwan Online Learning Summit overview).

The deal means NYCU's popular digital courses - which have racked up over 2.1 million YouTube views - will be available on Junyi and ewant, creating a seamless pipeline from K–12 to lifelong learning while research sessions tackled practical challenges like integrating AI into Moodle and making open education sustainable.

Presentations ranged from a 16‑week AI literacy study that tracked students' prompt‑engineering growth to HERO director Yung‑Chia Chang's examples of award‑winning teachers using ewant and Junyi to reshape instruction, showing how higher ed, open learning and research collaboration can translate national AI strategy into classroom tools and teacher training that actually scale across Taiwan.

“Some of my best videos… were filmed in my kitchen.” - Barbara Oakley

Classroom practice in Taiwan shows a fast-moving, uneven reality: multiple surveys find students are already heavy users of AI while teacher confidence and formal instruction lag behind.

CEIH and Day of AI's nationwide study found more than 90% of students and teachers have tried AI tools, yet fewer than one in four students - and only 12% of teachers - say they truly understand how AI works, a gap that can leave learners “going down the wrong path” when models mislead (Taiwan AI Literacy for All launch - Day of AI).

Targeted surveys of ninth‑graders back this up: NAER and Academia Sinica report about 69% of ninth‑graders use generative AI for homework, translation, images and chat, with the largest group using it once or twice a week and roughly 53% saying teachers had taught them how to use it (NAER and Academia Sinica ninth‑grader generative AI findings).

At the same time, international faculty data show only about 17% of instructors feel AI‑advanced and 40% say they're just beginning their AI journey, while surveys of classroom practitioners note time‑saving benefits for teachers who adopt AI but also point to uneven policy and training uptake - precisely the gaps Taiwan's “AI Literacy for All” aims to close with scaled, localized teacher workshops and classroom materials (Global AI faculty survey 2025 results - Digital Education Council).

“We are thrilled to partner with the CommonWealth Education Innovation Hub to bring this important initiative to Taiwan.” - Professor Cynthia Breazeal

Risks, ethics and trustworthy AI in Taiwan classrooms are as much about civic resilience as they are about model accuracy: with exposure to disinformation rising sharply - a National Taiwan University study notes it climbed from 82% in 2023 to 95% in 2024 - schools must teach students how to question sources, spot manipulation and resist echo chambers rather than simply hand them new tools (Building Digital Resilience report on disinformation in Taiwan).

That imperative sits beside a changing legal landscape: Taiwan's draft Basic Act on AI emphasizes human autonomy, transparency, explainability and accountability and calls for risk‑based classifications and labeling that districts and vendors will need to follow when deploying classroom AI (Draft Basic Act on AI - Taiwan National Science and Technology Council public consultation).

Practically, educators can pair model literacy with proven community tools for verification - Taiwan's Cofacts crowdsourced fact‑checking shows how local, volunteer networks can outpace and complement professional checks, a useful bridge from classroom skepticism to real‑world verification (Cofacts crowdsourced fact‑checking initiative in Taiwan - Cornell Tech analysis).

The upshot: ethical AI in schools means curricula that teach promptcraft alongside source‑checking, clear vendor disclosures and teacher training that turns anxiety into actionable skills before habits harden.

“Do not treat media literacy as an activity, but as a movement…It must start with oneself, and the most important factor is whether you put your heart into it.” - Lai Ting‑Ming, Taiwan FactCheck Center

Scaling AI education across Taiwan will depend less on a single silver-bullet and more on a coordinated set of levers: clear national funding and regional plans to move policy into schools, fast channels for teacher upskilling, and practical infrastructure that keeps models and data local.

Taipei's national AI push and regional development roadmap create a governance spine and targets (from talent pipelines to industry transformation) while the Ministry of Economic Affairs and allied agencies are promising talent programs, free compute and a NT$10 billion investment to remove hardware and funding bottlenecks for startups and schools (Taiwan national AI strategy announcement, MOEA AI talent programs and free GPU measures).

On the education front, the Day of AI–CEIH “AI Literacy for All” model shows how a focused, localized curriculum plus train‑the‑trainer workshops and public events can be scaled to reach 300,000 students and 4,400+ teachers across rural and urban districts (Day of AI Taiwan - AI Literacy for All program).

Complementary technical levers - a sovereign language corpus, shared computing nodes, and industry–academia partnerships - ensure tools speak local languages and lower vendor lock‑in, while civil‑society partners help translate media‑literacy into classroom practice so students learn to question outputs, not just use them; together these pieces form a pragmatic playbook for nationwide scaling.

“Do not treat media literacy as an activity, but as a movement…It must start with oneself, and the most important factor is whether you put your heart into it.” - Lai Ting‑Ming, Taiwan FactCheck Center

Turn policy into practice with a simple, Taiwan-centered checklist: start classroom pilots by tapping the Ministry of Education's AI learning partner and the TALP integration so teachers and students can try generative-AI tools inside existing school platforms (Taiwan Ministry of Education TALP AI learning partner (MOE AI learning partner)); pair those pilots with locally tuned language tools like TAIDE's TaiYingHui robot so students can practice Taiwanese and English in the same lesson while teachers generate images and materials in real time to illustrate cultural concepts (Ubitus TAIDE TaiYingHui bilingual co-learning robot overview).

Use the MOE's distance code‑review workflow and the high‑school elective templates (23 pilot schools) to scaffold equitable access in remote districts, and rapidly build formative assessments with an assessment‑bank generator that creates distractors and difficulty estimates for quick classroom checks (Nucamp assessment bank generator for formative assessments).

Keep each lesson loop short: introduce an AI concept, model promptcraft, have students test outputs with a verification task, and finish with a quick rubric that measures source‑checking and creative use.

The vivid payoff is immediate - a teacher in any classroom can turn a 10‑minute prompt session into a multilingual speaking activity that preserves local language and culture while teaching students to verify what models produce, not just accept it.

“Do not treat media literacy as an activity, but as a movement…It must start with oneself, and the most important factor is whether you put your heart into it.” - Lai Ting‑Ming, Taiwan FactCheck Center

Taiwan's 2025 moment - national pilots from the MOE, the TAIDE platform and a three‑year “AI Literacy for All” rollout - means educators and policymakers can move from cautious experiment to practical scale: prioritize fast teacher upskilling, deploy localized curricula and pair classroom pilots with simple assessment tools so students learn to verify outputs, not just consume them.

The Ministry of Education's recent forum and pilot reports show the value of government‑led learning partners and shared platforms (Taiwan Ministry of Education AI applications for education), while the Day of AI–CEIH initiative offers ready, culturally adapted K–9 units and teacher workshops to reach 300,000 students and 4,400+ teachers across Taiwan (Day of AI Taiwan “AI Literacy for All” initiative).

For hands‑on workforce skills that schools or districts may want to recommend to staff, a short, practical pathway like Nucamp's 15‑week AI Essentials for Work covers promptcraft, tool practice and job‑based applications and can be a bridge between policy goals and classroom practice (Nucamp AI Essentials for Work syllabus (15-week course)).

The clearest rule for success: combine policy, local language models and teacher training so a single 10‑minute prompt lesson can become a robust, multilingual learning activity that preserves local culture while building critical verification skills.

“We are thrilled to partner with the CommonWealth Education Innovation Hub to bring this important initiative to Taiwan.” - Professor Cynthia Breazeal