Learn/Guide
Edudojo vs AI Detectors
AI detectors guess whether text was machine-generated from the final document. Edudojo captures visible student–AI process — prompts, revisions, verification — for process-based assessment. Different problems, different tools.
Published 2026-07-23
What's the core difference?
AI detectors classify finished text. Edudojo documents how the student worked with AI. When institutions need to grade thinking — not authorship probability — process evidence is the relevant signal.
Detectors can supplement policy in prohibited-AI contexts. They cannot replace redesign when AI-assisted work is allowed or inevitable. See AI detection alternatives.
How do they compare side by side?
| Dimension | AI detectors | Edudojo |
|---|---|---|
| Primary input | Final document | Guided workspace process logs |
| Output | AI-likelihood score | Engagement Score + reviewable history |
| Allowed AI use | Conflicts with permitted workflows | Designed for disclosed AI collaboration |
| Pedagogy | Enforcement-first | Socratic + Red Team literacy |
| Known limits | False positives/negatives | Requires assignment and platform adoption |
When do detectors still make sense?
Some institutions keep detectors for flagging in prohibited-AI contexts or as one signal among many. Supervised exams and honor-code violations still exist. Edudojo does not position itself as a detector replacement for every scenario.
The gap Edudojo fills is take-home and project work where AI is present and the final file is untrustworthy. The Socratic Engine captures inquiry inside that workflow.
What does a process-first integrity strategy look like?
Detection-only strategies optimize for catching cheaters after the fact. Process-based assessment optimizes for making learning visible while it happens — aligned with process-based assessment and methodology.
For the Engagement Score metric, see Engagement Score explained. For integrity framing: AI academic integrity beyond detection.