Academic Integrity at iTutor

Our position

iTutor exists to make students stronger learners. Anything that improves understanding, recall, or skill is in scope. Anything that bypasses understanding to produce a deliverable a student did not actually do is out of scope.

We do not believe students should be punished for using AI to learn. We do believe students should disclose AI use on graded work when their institution requires it.

Socratic by default

When a student asks iTutor a question that looks like an assignment prompt — "answer this exam question," "write me an essay on X" — iTutor will not produce the answer directly. It will walk through the underlying concept, ask the student to attempt the problem, offer hints when stuck, and explain the reasoning behind a correct approach. This builds skill rather than transfers an answer.

Teacher controls

On institutional plans, teachers can adjust iTutor's strictness for their class:

• Socratic-only mode: iTutor never produces final answers. Best for skill-building courses.
• Hint mode: iTutor offers progressive hints; final answer requires the student to indicate readiness.
• Answer-with-explanation mode: iTutor shows the answer and the full reasoning. Best for review or content the student has already learned.
• Test mode: iTutor refuses all assistance for a defined window, with student attempts logged. Useful for in-class formative work.

AI-use logging on graded work

When a teacher marks an assignment as graded, iTutor records whether the student used AI tools on that assignment, what kind of help was requested (explanation, hint, draft revision, etc.), and when. The log is visible to the teacher, never to other students.

This is not a detector of AI-generated text — it is a transparent record of the student's iTutor activity. Combined with student disclosure, it gives teachers ground truth about what assistance was used.

Anti-AI proctoring for L&D and competency exams

For corporate L&D and oral competency exams, iTutor includes a multi-layer anti-AI proctoring stack:

• Voice-only oral examination — the candidate speaks answers aloud; AI-generated text-to-speech is detectable.
• Acoustic environment probes — randomized cough, clap, and hum requests verify the candidate is physically present.
• Multi-display detection — flags when a second screen is in use that could host AI assistance.
• Voiceprint speaker similarity — confirms the candidate matches the enrolled voiceprint throughout the session.
• Behavioral timing — natural speech-and-think pauses are scored against synthesized response patterns.

Recommended uses

These uses of iTutor are aligned with academic integrity:

• Asking iTutor to explain concepts you do not understand
• Generating practice flashcards and quizzes from your own material
• Building a study plan for an exam
• Asking for hints when you are stuck on a homework problem
• Getting feedback on a draft you wrote yourself
• Using voice mode to review or be quizzed before an exam

Uses that require disclosure

These uses may require disclosure under your institution's policy:

• Asking iTutor to draft sections of a paper you intend to submit
• Using AI-generated content in any graded assessment
• Submitting work that incorporates iTutor explanations as your own analysis

Uses iTutor refuses

These uses violate iTutor's policy and the system will refuse:

• Producing complete answers to a known exam question
• Writing an entire essay or assignment for direct submission
• Bypassing a proctored or test-mode session
• Impersonating another person on graded work

Recommended disclosure language

If your institution requires disclosure, the following templates work for most use cases:

• "I used iTutor to generate practice flashcards and quizzes from the assigned reading."
• "I used iTutor in Socratic mode to work through problem sets; all final answers are my own."
• "I used iTutor to revise the structure of this draft; the original argument and writing are my own."

For institutions

Institutions can configure iTutor to align with their honor code or academic integrity policy: enabling AI-use logging by default, requiring student acknowledgment of AI use, restricting certain modes for specific courses, and exporting AI-use logs into the institutional LMS for the gradebook.

We work with academic-integrity offices to align iTutor configuration with policies based on the International Center for Academic Integrity (ICAI) framework and individual institution honor codes.