Learning Experience
Learning Model
Section titled “Learning Model”The course is designed as a lightweight 30-hour path:
- Public videos and documentation provide the primary explanations.
- Course notes sequence the resources into a coherent path.
- Labs turn each topic into a concrete artifact.
- Self-checks help learners decide whether they can move on.
- Optional live sessions give instructors a way to support cohorts without replacing self-paced learning.
Experience Loop
Section titled “Experience Loop”Each module follows the same loop:
- Preview the module goals and final deliverable.
- Watch the assigned videos or read the assigned docs.
- Ask an AI assistant to summarize the module-specific resources.
- Complete the lab task.
- Run the self-check.
- Submit links, screenshots, command output, or code.
- Record what AI helped with and what required human correction.
Self-Check Format
Section titled “Self-Check Format”Every module should include short questions like:
- Can I explain the core concept without reading notes?
- Can I reproduce the key command or workflow?
- Can I identify the contract, frontend, wallet, and network pieces involved?
- Can I explain one risk in my implementation?
- Can I show a link or artifact proving the work was completed?
Optional 12-Hour Live Track
Section titled “Optional 12-Hour Live Track”For cohort-based delivery, instructors can add 12 hours of synchronous support:
| Session | Duration | Purpose |
|---|---|---|
| Orientation | 1h | Wallet setup, safety baseline, and course workflow |
| Lab support 1 | 2h | Chain, wallet, Gas, and Solidity labs |
| Lab support 2 | 2h | Token standards and testing |
| Lab support 3 | 2h | Scaffold-ETH 2 and SpeedRun Challenge 0 |
| Lab support 4 | 2h | L2 deployment and security review |
| Capstone clinic | 2h | Vendor or DEX implementation support |
| Demo day | 1h | Project showcase and retrospective |
Learner Support
Section titled “Learner Support”The recommended support pattern is:
- One shared discussion channel for setup and environment issues
- One issue template for lab blockers
- One project submission form
- One demo day slot per learner or team
- One lightweight review rubric based on the Evaluation page
What Good Progress Looks Like
Section titled “What Good Progress Looks Like”Good progress is not just watching videos. A learner is on track when they can show working artifacts:
- A testnet wallet and transaction
- A compiled and tested Solidity contract
- An ERC-20 or ERC-721 deployment
- A Scaffold-ETH 2 project running locally
- A SpeedRun challenge submission
- A testnet or L2 deployment
- A capstone README with risks and links