TutorCampus is the learner-facing side of the TutorFlow platform. While TutorFlow's core tools are designed for educators — course creation, assessment building, analytics, feedback — TutorCampus is built around the learner's experience of working with AI directly.
What TutorCampus is
TutorCampus gives learners a practice-centered AI environment where they can interact with AI models, explore topics independently, and develop hands-on skills outside the structured lesson flow.
It is designed for active learning: learners prompt, evaluate, revise, and reflect — rather than passively reading content. This makes it most useful as a complement to structured courses, giving learners a space to practice the skills the course is teaching.
How TutorCampus relates to TutorFlow courses
TutorFlow courses deliver structured instruction. TutorCampus gives learners a place to extend that learning through independent practice.
| TutorFlow courses | TutorCampus |
|---|---|
| Educator-designed learning path | Learner-driven exploration |
| Structured lessons with defined outcomes | Open-ended AI practice and skill building |
| Graded assessments and quizzes | Ungraded practice and experimentation |
| Instructor content and activities | AI-assisted learning at the learner's own pace |
The two environments work together. A course might teach prompt engineering concepts through structured lessons and assessments; TutorCampus gives learners a space to practice those skills freely between sessions.
Good use cases for TutorCampus
- AI literacy programs — Learners practice working with AI as a skill, outside of formal instruction
- Self-directed study — Learners who want to go deeper on a topic beyond what the course covers
- Course extension activities — Instructors point learners to TutorCampus as a homework or exploration activity
- Professional skill development — Learners developing applied AI skills for workplace use