AI-Driven Indigenous Township Economy and Policy Watch | More Than 11,000 Training Enrollments Do Not Mean the Indigenous-Language Teacher Shortage Is Solved: Indigenous Areas Need a Trackable Supply-and-Demand Map

# AI-Driven Indigenous Township Economy and Policy Watch | More Than 11,000 Training Enrollments Do Not Mean the Indigenous-Language Teacher Shortage Is Solved: Indigenous Areas Need a Trackable Supply-and-Demand Map

On July 11, Taiwan’s K-12 Education Administration, Ministry of Education, reported that it had offered 21 certification-preparation courses and 46 pre-exam intensive courses since 2022 to help senior high school teachers obtain qualifications to teach local languages, with cumulative attendance reaching 11,391. Courses in the second half of 2026 also include Bunun and Atayal: a Bunun certification-preparation course in September, followed by Atayal and Bunun intensive courses in November. This is an important route into Indigenous-language teaching, but a count of training enrollments does not show that schools serving Indigenous communities have enough teachers or that those teachers can remain in place.

The published total combines Taiwanese Taigi, Hakka, and Indigenous languages, making it difficult to answer more practical questions. How many people have gained certification in each Indigenous language? How many qualified teachers have actually entered classrooms? In which Indigenous townships must teachers still travel across several jurisdictions to provide itinerant instruction? When a teacher takes leave or resigns, is a substitute available to keep the course running? Adding a language to the timetable and enabling students to learn it continuously over several years are two very different achievements.

The next phase of policy should move beyond counting courses and build a trackable service system for Indigenous-language teachers. The Ministry of Education, Council of Indigenous Peoples, Taiwan, and local governments could publish, by language, county or city, township, and stage of education, the numbers certified and actually teaching, unfilled positions, travel distances for itinerant teachers, demand for remote instruction, and available substitute-teacher pools. Such a map would not rank teachers. It would show schools, township offices, and Indigenous communities where shortages remain so that they can arrange transport subsidies, joint appointments across schools, digital teaching materials, and remote collaborative instruction.

AIGC and speech technology can help teachers adapt materials, create practice exercises, and organize classroom resources, but they cannot replace Indigenous-language teachers, elders, or language communities. If voices, stories, and cultural knowledge enter digital teaching materials, their use must remain subject to informed consent, governance by the Indigenous people concerned, defined purposes, and mechanisms for withdrawal. Educational value does not turn Indigenous-language resources into a free database available for unrestricted use.

Indigenous-language certification is an entry point, not the endpoint of policy. As Taiwan’s 55 Indigenous townships develop digital public services, a supply-and-demand map capable of showing which language, which school, and how many teachers are still needed should be treated as basic educational infrastructure. Language revitalization is not measured only by the number of certificates issued. It means ensuring that every child who wants to learn an Indigenous language can continue to encounter teachers in their own area who know how to teach it, are able to teach it, and have the conditions needed to remain for the long term.

Data sources:

• K-12 Education Administration, Ministry of Education, “K-12 Education Administration Offers Local-Language Certification-Preparation and Intensive Courses to Strengthen Teachers’ Local-Language Proficiency,” July 11, 2026.
• Ministry of Education, Taiwan | Latest News