打造最強教學 AI
重新定義未來的學習
Build the Ultimate AI Tutor
Redefining Future Learning
第一屆教學怪物挑戰賽：
尋找能深刻理解學習需求、生成適性化影音教材的頂尖 AI Agent。
The 1st Teaching Monster Challenge: Seeking the top AI Agents capable of understanding learning needs and generating adaptive educational videos.
競賽宗旨 Mission Statement
「生成影片」不等於「有效教學」
我們已經見證了 AI 根據 Prompt 生成高品質影片的能力。
然而真正的教學不僅要求內容的正確性，更需要具備 學科教學知識 (PCK) 的智慧：它不僅要懂知識，更要懂「如何教」。
"Generating video" is not "Effective Teaching"
We have already witnessed AI's ability to generate high-quality videos based on prompts.
However, true teaching requires not only the accuracy of the content, but also the wisdom of Pedagogical Content Knowledge (PCK): it requires not only understanding the knowledge, but also understanding "how to teach".
挑戰重點
如何將複雜的概念拆解、建立邏輯連結、針對不同背景進行差異化教學，並維持學習者的專注力。
Key Challenges
How to break down complex concepts, establish logical connections, provide differentiated instruction for different backgrounds, and maintain learners' focus.
競賽背景與範疇 Scope & Description
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01
核心任務Core Task
開發一組 AI Agent，透過 API 接收文字學習需求，全自動生成教學影片。 Develop an AI Agent that receives text-based learning needs via API and fully automatically generates teaching videos.
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02
學科領域Domain
中等教育階段之 物理、生物、電腦科學、數學 Physics, Biology, Computer Science, and Mathematics in Secondary Education.
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03
語言要求Language
生成影片以 英文 (English) 為主。 The generated videos are primarily in English.
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04
呈現形式Format
時長上限 30 分鐘。
風格不拘（動態投影片、AI 數位人、動畫圖表皆可）。 Maximum Video Duration: 30 minutes. (Decided by the Agent).
Style: Open (Slides + Voiceover, Digital Avatar, Motion Graphics, etc.).
挑戰任務與規則 Tasks & Rules
⚙️參賽技術規格 ⚙️Technical Specifications
API Input (JSON)API Input (JSON)
{
"request_id": "1314520",
"course_requirement": "Self-Attention Mechanism",
"student_persona": "High schooler, no calculus."
}
API Output (JSON)API Output (JSON)
{
"video_url": "https://yourapi.com/video.mp4",
"subtitle_url": "https://yourapi.com/subtitle.vtt",
"supplementary_url": ["https://yourapi.com/slides.pptx","https://yourapi.com/document.pdf"]
}
除 "video_url" 外皆為可選，也就是可以僅包含 "video_url"，詳細資訊請參考規則All fields except "video_url" are optional, meaning you can include only "video_url." Please refer to the rules for more details.
系統限制Constraints
- 回應時限：30 分鐘內回傳。Latency: Within 30 mins.
- 全自動化：禁止人工介入。Autonomy: No human-in-loop.
- 工具使用：允許聯網、Interpreter。Tools: Search & Code Interpreter OK.
公開基線模型管線Public baseline model pipeline
可以參考官方的 GitHub 儲存庫，包含從接收請求到生成影片回傳的所有流程You can refer to the official GitHub repository, which contains the entire process from receiving a request to generating and uploading the video.
📝評分標準 📝Evaluation Criteria
初賽由「AI 學生」與「人類學生」評比，決賽由教育專業評審評比。
The preliminary round was judged by "AI students" and "human students," while the final round was judged by education professionals.
引用規範 Zero Hallucination
Proper Citations
敘事連貫 Scaffolding
Coherence
差異化教學 Student Level Awareness
Differentiated Teaching
生動有趣 Multimodal
Vivid & Engaging
賽制流程 Competition Phases
🚀 系統上線 & AI 學生回饋 🚀 Launch & AI Student Feedback
釋出熱身賽題目，由「AI 學生」提供自動化評測報告，協助團隊優化模型，「AI 學生」的評分僅供參考，不影響比賽成績。
The warm-up competition questions have been released, and "AI Student" will provide automated evaluation reports to help teams optimize their models. The "AI Student's" scores are for reference only and will not affect the competition results.
⚔️ 人類學生評比 ⚔️ Human Student Ranking
釋出初賽題目，先透過 AI 學生進行篩選，再由真實人類學生進行評比，評分以類似 Arena 的方式進行，參與評比的人類學生會隨機分配到兩個AI Agent 針對同樣題目產生的影片，由人類學生決定何者較佳，根據 Elo score 排名，選出前三名進入決賽。
The preliminary round questions will be released, and the AI students will first screen the participants, followed by evaluation by real human students. The human scoring will be conducted in a manner similar to Arena. Each participating human student will be randomly assigned to watch videos produced by two AI agents on the same topic. The human students will then decide which video is better. Based on the Elo score ranking, the top three will advance to the final round.
🏆 專家評比 🏆 Expert evaluation
由高中老師和大學教授擔任評審出題，最後由評審團決定排名。
The questions were set by high school teachers and university professors, and the final ranking was determined by the judging panel.
比賽時程表 Competition Schedule
| 日期Date | 階段Phase | 詳細活動Details |
|---|---|---|
| 3 月 1 日 Mar 1 | 熱身賽開始（第一輪） Warm-up Start (Round 1) | API 開放，AI 學生上線評測。AI 學生的評分僅供參考，不影響比賽排名，主要目標是透過 AI 學生的回饋協助參賽團隊調整 AI Agent。 API opens, AI Student evaluation begins. The AI student scores are for reference only and do not affect competition rankings. The main goal is to use AI student feedback to help participating teams adjust their AI agents. |
| 4 月初 Early April | 熱身賽（第二輪） Warm-up Phase (Round 2) |
釋出更貼近初賽難度的題目，AI 學生評測。 分數同樣僅供參考，讓隊伍在正式比賽前進行最後調校。 The topics will be more similar in difficulty to those in the preliminary round, and will be evaluated by AI students. The scores are for reference only, allowing teams to make final adjustments before the official competition. |
| 5 月 1 日 May 1 | 初賽開始 Prelim Start | 釋出初賽題目。 Preliminary round released. |
| 5 月 15 日 May 15 | 初賽截止 Prelim End | AI 學生依四大評分標準進行自動化評分，選出最多 10 名進入真人評審階段。 AI students will automatically score students according to four major evaluation criteria, and select up to 10 students to enter the human review stage. |
| 6 月 8 日 Jun 8 | 名單公告 Finalists | 公布決賽三強。 Announce top 3 finalists. |
| 6 月 12-13 日 Jun 12-13 | 決賽 Grand Final | 人類專家出題 (決賽僅有兩天，每組只有非常有限的測試次數)。 Human experts set the questions (the final round will last only two days, and each group had a very limited number of test attempts). |
| 6 月 26 日 (下午) Jun 26 (afternoon) | 成果交流會 Workshop | 技術交流、公布名次、頒獎 (形式之後再公告)。 Technical exchange, announcement of rankings, and awards ceremony (the format will be announced later). |
關於比賽名稱：「教學怪物」的由來 About the Name: Origin of "Teaching Monster"
你可能會好奇，為什麼一場結合教育與 AI 科技的創新賽事，會以「怪物」來命名？這個名稱背後，其實蘊含了對兩大流行文化的致敬，以及我們對未來教育的深切期盼。
You might wonder why an innovative competition combining education and AI is named "Monster"? Behind this name lies a tribute to two major pop cultures and our deep expectations for the future of education.
源起一：現象級實境秀《中文怪物》 Source 1: The Reality Show "Chinese Monster"
前陣子，由百萬 YouTuber「酷的夢」斥資打造的大型實境節目《中文怪物》席捲社群，引發熱烈迴響，掀起了以「XX 怪物」為競技命名的風潮。在這裡，「怪物」一詞跳脫了傳統的負面意涵，轉而象徵在特定領域中實力頂尖、打破常規的卓越佼佼者。我們希望透過這場比賽，讓 AI Agent 成為能顛覆傳統教學框架的「教學怪物」！
Recently, the large-scale reality show "Chinese Monster," created by million-subscriber YouTuber "Ku's Dream," swept through social media and sparked a trend of naming competitions "XX Monster." Here, the word "Monster" transcends its traditional negative meaning, symbolizing top-tier, rule-breaking excellence in a specific field. We hope that through this competition, AI Agents will become "Teaching Monsters" that subvert traditional educational frameworks!
源起二：動漫《暗殺教室》的極致「因材施教」 Source 2: Individualized Instruction in "Assassination Classroom"
名稱的第二個靈感，來自日本經典動漫《暗殺教室》。劇中的「殺老師」是個「怪物」，擁有 20 馬赫的移動速度，能在同一時間內，為班上每一位學生量身打造專屬教材，並進行一對一精稱指導。這種「全員客製化學習」的極致境界，過去或許只存在於想像中；但在今天，AI Agent 有可能可以針對不同學生的需求與弱點，即時生成並調整最適合的學習內容，成為每個人的「殺老師」。
The second inspiration comes from the classic Japanese anime "Assassination Classroom." The character "Koro-sensei" is a "monster" with a speed of Mach 20, capable of creating personalized materials and providing one-on-one guidance for every student in the class simultaneously. This ultimate level of "fully customized learning" might have only existed in imagination before; but today, AI Agents can potentially generate and adjust the most suitable learning content in real-time based on each student's needs and weaknesses, becoming everyone's "Koro-sensei."
