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.