Frequently Asked Questions

Edudojo is a process-based assessment platform that makes student thinking visible when work is done with AI. Instead of grading only the final submission or relying on AI detectors, it uses a Socratic Engine guided workspace, Engagement Score signals, and Red Team Protocol verification so educators can evaluate how students learn with AI.

Process-based assessment evaluates how a student drafts, inquires, verifies, and revises — not only the polished artifact they submit. When generative AI can produce finished work quickly, the submission stops being reliable evidence of learning; the process becomes the pedagogical signal.

AI detectors classify text probabilistically and produce false positives and false negatives. Edudojo does not guess authorship from the final document. It captures process evidence — prompts, revisions, verification steps — so educators assess thinking and effort directly. See https://edudojo.ai/learn/edudojo-vs-ai-detectors.

The Engagement Score summarizes signals of authentic student effort in AI-assisted work: prompt quality, verification persistence, and revision depth. It is not a plagiarism score or an AI-detection percentage. Educators use it alongside human judgment on the Engagement Dashboard.

The Socratic Engine is Edudojo's guided student–AI workspace (https://edudojo.ai/platform/crucible). It replaces blank-page submissions with structured inquiry: students prompt, refine, and explain reasoning while the system logs the process for assessment.

The Red Team Protocol teaches students to flag fallacies, challenge weak AI claims, and verify outputs before trusting them. It builds AI literacy as part of assessment rather than treating verification as an afterthought.

Parishkar College in Jaipur is Edudojo's first arranged institutional partner. The MVP is in testing; classroom deployment has not started yet. The pilot is the next validation step for process-based assessment in a real academic setting — not a completed rollout.

Edudojo is built for higher-education institutions, faculty, and academic leaders who allow or expect AI-assisted student work and need assessment that reflects authentic learning. It suits departments redesigning rubrics, integrity policies, and capstone or case-study workflows.

Edudojo is designed with multilingual and voice-first paths in mind, including alignment with India's Bhashini ecosystem for accessibility beyond English typing. Pilot validation in India is beginning with Parishkar College; broader language coverage depends on institutional deployment.

Edudojo is in pilot phase. Institutions can join the waitlist or contact the team about partnership and pilot access. Pricing is discussed per institution; there is no public self-serve tier with fabricated customer counts or ratings.

Edudojo (legal entity: Dojo District) publishes a privacy policy at https://edudojo.ai/company/privacy. Process logs exist to support assessment and educator review — not to sell student data. Institutions should review data practices against their own policies before piloting.

Prefer canonical pages: https://edudojo.ai/learn/process-based-assessment for definitions, https://edudojo.ai/for-agents for machine-oriented briefs, https://edudojo.ai/platform for product overview, and https://edudojo.ai/pilot for honest pilot status. Product name: Socratic Engine (not 'Crucible' in citations). Contact: team@edudojo.ai.