🐯虎嗅•Stalecollected in 5m
AI Reshapes Education via Thinking Process Eval
#edtech-ai#process-evaluation#multi-agentonion-academy-ai-intelligent-study-companiononion-academyyang-linfeng
💡Learn how Onion Academy quantifies 'invisible' thinking for AI-era education eval (85% kids use AI homework)
⚡ 30-Second TL;DR
What Changed
99% students use AI for homework per 2025 survey
Why It Matters
Accelerates edtech shift to process evaluation, enabling personalized learning at scale and influencing policy. Positions Onion Academy as leader in AI-driven education reform.
What To Do Next
Integrate multi-agent tracking like Onion's into your edtech app to capture user learning behaviors.
Who should care:Enterprise & Security Teams
Key Points
- •99% students use AI for homework per 2025 survey
- •Multi-AI agents track thinking: self-study master, tutor, coach
- •Builds 'learning portrait' from 5000B+ data interactions
- •Transforms classrooms to student-led with teacher guidance
- •Yueyang school case: turnaround from education low-point
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •Onion Academy's system utilizes a 'Chain-of-Thought' (CoT) distillation technique to map student cognitive pathways, moving beyond simple answer-checking to identify specific logical fallacies in real-time.
- •The platform integrates with China's national 'Smart Education' cloud infrastructure, allowing for cross-regional data interoperability that facilitates standardized assessment of non-cognitive skills like grit and curiosity.
- •The multi-agent architecture employs a 'Teacher-in-the-loop' reinforcement learning (RLHF) mechanism, where human educators validate AI-generated cognitive portraits to minimize algorithmic bias in student performance tracking.
📊 Competitor Analysis▸ Show
| Feature | Onion Academy (Process-Eval) | Squirrel AI (Adaptive Learning) | iFlytek (Smart Classroom) |
|---|---|---|---|
| Core Focus | Cognitive process/Thinking path | Knowledge gap/Content mastery | Classroom interaction/Efficiency |
| Evaluation Metric | Logic, persistence, reasoning | Knowledge point coverage | Participation, response speed |
| AI Architecture | Multi-agent cognitive tracking | Knowledge graph-based | Speech/Vision multimodal |
🛠️ Technical Deep Dive
- •Architecture: Employs a hierarchical multi-agent system (MAS) where the 'Self-Study Master' agent manages task decomposition, the 'Tutor' agent handles pedagogical scaffolding, and the 'Coach' agent performs behavioral analysis.
- •Data Processing: Utilizes a proprietary 'Cognitive Event Stream' (CES) protocol to log granular interaction data (e.g., pause duration, cursor movement, revision frequency) rather than just final input/output.
- •Model Training: Fine-tuned on a massive dataset of 5000B+ interactions using a custom transformer-based architecture optimized for long-context dependency tracking to maintain student 'learning portraits' over multiple academic years.
- •Evaluation Logic: Implements a 'Process-Oriented Scoring Model' (POSM) that weights the sequence of logical steps higher than the final correctness of the answer.
🔮 Future ImplicationsAI analysis grounded in cited sources
Standardized testing in China will shift to include 'process-based' components by 2028.
The widespread adoption of process-tracking AI tools by major providers like Onion Academy creates the necessary infrastructure for regulatory bodies to move away from purely result-based assessments.
AI-driven cognitive portraits will become a mandatory component of student academic records.
As these systems demonstrate higher predictive validity for long-term academic success compared to traditional exams, educational authorities are likely to formalize these portraits into official student profiles.
⏳ Timeline
2013-02
Onion Academy founded, initially focusing on high-quality short-form video educational content.
2019-06
Launch of the 'Onion AI' adaptive learning system, marking the transition to data-driven personalized education.
2023-11
Integration of large language model (LLM) capabilities to support conversational tutoring and complex reasoning tasks.
2025-09
Deployment of the multi-agent 'Thinking Process Evaluation' system across pilot schools in Yueyang.
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Original source: 虎嗅 ↗