Work You Can Explain is an independent educational project created by Ian Fang. It helps students use AI and computing tools without giving up understanding, verification, or ownership of their work.
Who this site is for
The primary audience is college students in computing-related majors. Students in other fields can also use these guides to understand their tools, work with AI responsibly, and develop practical computing habits. No prior technical background is assumed unless a guide lists a specific prerequisite.
The site connects responsible AI use with the computing foundations and learning workflows students need to maintain and recover their work. The goal is independence rather than tool collecting. AI can help explain, diagnose, review, and implement, but the student remains responsible for understanding and verifying the result.
About the author
I am Ian Fang, a lecturer at the University of West Florida. My work with students includes programming, computing fundamentals, and practical technical problem-solving.
Work You Can Explain is developed independently from my assigned University duties. It is not sponsored, operated, reviewed, or endorsed by the University of West Florida. The content represents my own work and views, not those of the University.
Three working principles
- Terminal-first: learn to inspect and control the computer through commands.
- Text-first: keep durable knowledge and configuration in open, searchable formats.
- Reusable-by-default: turn successful work into notes, scripts, templates, or skills.
These principles support practical choices about tools, documentation, and automation. They do not require a beginner to redesign a complete system at once. Start with the action that solves a current problem, keep the evidence it produces, and add another practice when the need becomes clear.
The shared method
The Durable Student System is the method behind these guides. It helps students produce work that remains understandable, verifiable, editable, recoverable, reusable, and explainable.
The system follows a recurring cycle:
Learn → perform manually → verify → document in text → automate with code → package for reuse → improve through use.
Work You Can Explain names the outcome. The Durable Student System names the method used to reach it. It connects the site’s collections and learning paths; it does not replace them.
Where to begin
Start with Start Here: A Practical Student Computing Workflow if you want one focused first action. If you already know what you need, browse the collections or learning paths and choose the guide that matches your current task.
Contact
Questions and corrections are welcome at hello@workyoucanexplain.com.