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未來人才AI能力圖像 the Future Talent AI Competency Framework

教育部 Ministry of Education・2026

未來人才 AI 能力圖像

FUTURE TALENT AI COMPETENCY FRAMEWORK

教育部於 2026 年 5 月 22 日提出《未來人才 AI 能力圖像》,以「運用 AI 學習」「負責任使用 AI」「運用 AI 解決問題」「AI 無法取代」四項能力,分別描述學生與教師在各教育階段的培育目標。本頁整理大專校院階段的大學生與大學教師核心能力。On 22 May 2026, the Ministry of Education introduced the Future Talent AI Competency Framework. Four competencies — learning with AI, using AI responsibly, solving problems with AI, and what AI can’t replace — set goals for both students and teachers at each level of education. This page covers university students and university teachers.

學生培育目標 For students

大學生的能力

UNIVERSITY STUDENTS

大專校院學生在四項能力下的核心能力。Core competencies for university students under the four areas.

能力 A・Learning with AI
運用 AI 學習的能力
A-1理解 AI 工具,提升專業學習成效
依專業與任務需求理解 AI 工具的原理,評估並選用適切工具,支援學習、資訊管理與資料產出。
Understand AI tools to enhance learning in your field — Understand how AI tools work, then evaluate and choose suitable tools for learning, information management and producing work.
A-2建立 AI 賦能的自主學習與終身學習
運用後設認知與批判思維,有策略地把 AI 融入自主學習;掌握產業趨勢,判斷與選用新興 AI 工具。
Build AI-empowered self-directed and lifelong learning — Use metacognition and critical thinking to bring AI into self-directed learning, and keep judging and adopting emerging tools.
能力 B・Using AI responsibly
負責任使用 AI 的能力
B-1專業領域的 AI 倫理與法規素養
理解並遵循智慧財產權、個資保護等規範,正當使用 AI,並揭露使用方式與範圍。
AI ethics and legal literacy in your field — Follow rules on intellectual property and personal data, use AI properly, and disclose how and where you used it.
B-2AI 資安與風險意識
辨識資料安全、偏見與誤判等風險,理解模型限制,查證並識別 AI 生成的虛假或誤導內容。
Awareness of AI security and risk — Recognise risks such as data leaks, bias and errors, understand model limits, and fact-check misleading AI output.
B-3價值判斷與當責
理解 AI 對個人、專業與社會的影響,提出有依據的判斷,並對自己的決策與後果負責。
Value judgement and accountability — Understand AI’s impact on people, professions and society, make well-grounded judgements, and own your decisions.
能力 C・Solving problems with AI
運用 AI 解決問題的能力
C-1運用 AI 分析與解決問題
用 AI 整理問題背景、釐清關鍵變項,結合專業知識判讀與驗證,形成有依據的解決方案。
Analyse and solve problems with AI — Use AI to map a problem and its key variables, then verify the results with your own expertise to reach a sound solution.
C-2邏輯思維與跨領域整合
理解 AI 資料來源、模型與推論的原理和限制,判斷 AI 適合的角色,整合跨領域知識。
Logical thinking and cross-disciplinary integration — Understand how AI data, models and reasoning work and where they fall short, decide what role AI should play, and combine knowledge across fields.
C-3專業導向的人機協作與流程優化
用 AI 優化工作流程,辨識並回饋 AI 的錯誤與偏見,評估 AI 介入對品質與風險的影響。
Human–AI collaboration and workflow design — Use AI to improve workflows, catch and report its errors and biases, and weigh how it affects quality and risk.
能力 D・What AI can’t replace
AI 無法取代的能力
D-1善用 AI 提升判斷與決策
在與 AI 協作時依循專業與倫理自主判斷,並承擔結果責任,展現以人為主體的決策。
Better judgement and decisions with AI — When working with AI, make your own professional and ethical judgements and take responsibility for the outcome.
D-2AI 協作中的同理心與人際互動
理解並尊重他人觀點與需求,考量不同族群與社會情境,展現負責任的人際互動。
Empathy and teamwork alongside AI — Respect other people’s views and needs, consider different groups and social contexts, and interact responsibly.
D-3對真實世界的洞察與創意整合
善用 AI 但不受其限制,結合生活體驗洞察真實問題,整合多元觀點並付諸實踐。
Real-world insight and creative integration — Use AI without being limited by it: draw on lived experience to see real problems, combine perspectives and act on them.
教師培育目標 For teachers

大學教師的能力

UNIVERSITY TEACHERS

大專校院教師在四項能力下的核心能力,涵蓋自身運用 AI 與引導學生兩個面向。Core competencies for university teachers, covering both their own use of AI and how they guide students.

能力 A・Learning with AI
運用 AI 學習的能力
A-1運用 AI 提升教學成效
理解 AI 的原理與特性,選用適切工具融入備課、教材設計、教學活動與多元評量;訂定課程的 AI 使用規範,引導學生理解 AI 的應用情境與限制。
Use AI to improve teaching — Understand how AI works, bring suitable tools into lesson planning, materials, activities and assessment, and set course AI-use rules that help students see AI’s uses and limits.
A-2運用 AI 促進專業成長與終身學習
運用 AI 持續優化課程與教學設計,系統性分析教學資源與學生學習歷程;關注產業發展趨勢,持續精進。
Use AI for professional growth and lifelong learning — Keep refining courses with AI, analyse teaching resources and students’ learning systematically, and follow industry trends.
能力 B・Using AI responsibly
負責任使用 AI 的能力
B-1確保學術誠信與 AI 倫理法規素養
在課程中明確訂定 AI 使用規範,引導學生遵守學術誠信、智慧財產權與個資保護,並透明揭露 AI 協作情形。
Academic integrity and AI ethics and law — Set clear AI-use rules in courses and guide students to uphold academic integrity, intellectual property and data protection, and to disclose AI collaboration.
B-2AI 資安風險管理與資訊查核
辨識教學與研究中的資安風險,如資料外洩、偏誤與模型濫用,並採取預防措施;引導學生查核 AI 生成內容與錯誤資訊。
AI security risk management and fact-checking — Spot security risks in teaching and research, such as data leaks, bias and model misuse, take precautions, and teach students to fact-check AI output.
B-3理解 AI 應用的社會影響與當責實踐
評估 AI 在教學中可能帶來的偏見與不公平,把相關議題融入課程,引導學生認識 AI 決策的脈絡與責任歸屬。
AI’s social impact and accountability — Weigh the bias and unfairness AI may bring into teaching, build these issues into courses, and help students understand the context and accountability of AI decisions.
能力 C・Solving problems with AI
運用 AI 解決問題的能力
C-1跨領域整合與人機協作的專業問題設計
設計與專業脈絡相連、具跨域複雜度的學習情境,引導學生透過與 AI 互動拆解問題,並結合專業知識修正 AI 的判斷。
Designing cross-disciplinary, human–AI problems — Design authentic, cross-disciplinary learning tasks in which students break problems down with AI and correct its judgements with their own expertise.
C-2專業與跨領域人機協作的批判思考驗證
掌握產業的 AI 應用趨勢,引導學生驗證 AI 提出的分析與方案是否可行、有無風險,在人機協作中做出負責任的專業判斷。
Critical verification in human–AI collaboration — Follow how industries use AI, and guide students to test whether AI’s analyses and solutions are feasible and safe, making responsible professional judgements.
能力 D・What AI can’t replace
AI 無法取代的能力
D-1在人機協作環境中進行價值判斷與決策
依專業領域需求思考與判斷,設計教學案例引導學生評估 AI 的推論,在協作中保有人的主體性。
Value judgement and decisions in human–AI settings — Make professional judgements, and use teaching cases that lead students to assess AI’s reasoning while keeping human agency.
D-2在專業領域落實社會關懷與同理心
協助學生理解與同理他人處境,從社會治理、公共價值等角度思考 AI 應用帶來的影響與倫理問題。
Social care and empathy in your field — Help students understand others’ situations and consider AI’s impact and ethical issues from the perspectives of governance and public value.
D-3建立對真實世界的洞察力與創造力
運用 AI 推動教學創新,激發學生的創造力;培養學生洞察真實世界、發展個人風格,結合 AI 提出解決方案。
Real-world insight and creativity — Use AI to innovate in teaching and spark students’ creativity, helping them read the real world, develop their own voice and solve problems with AI.

資料來源:教育部《未來人才 AI 能力圖像》(2026.05.22)大專校院階段學生與教師核心能力,本中心精簡改寫;英文為參考翻譯。
Source: Ministry of Education, Future Talent AI Competency Framework (2026), university level (students and teachers); condensed by CTLD. English is a reference translation.

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