Policy presence
Sultan Qaboos University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Muscat, Oman
Sultan Qaboos University is listed as QS 2026 rank =334. Sultan Qaboos University has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
Sultan Qaboos University is listed as QS 2026 rank =334. Sultan Qaboos University has 4 source-backed AI policy claim records from 1 official source attribution. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists Sultan Qaboos University as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 1 official source attribution. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/sultan-qaboos-university.json. The entity-level confidence is 90%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
Sultan Qaboos University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Sultan Qaboos University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Sultan Qaboos University has 4 source-backed public claims for coursework; deterministic analysis status: required.
Sultan Qaboos University has 4 source-backed public claims for exams; deterministic analysis status: required.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Sultan Qaboos University has 3 source-backed public claims for academic integrity; deterministic analysis status: required.
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Sultan Qaboos University has 1 source-backed public claim for named ai services; deterministic analysis status: allowed.
Sultan Qaboos University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: Incorrect AI use is treated as academic misconduct under SQU academic misconduct handling.
Original evidence
Evidence 1If you use AI tools incorrectly, it is considered academic misconduct. If your teachers think you used AI incorrectly for an assignment, they will follow the SQU Academic Misconduct Policy to decide if it is plagiarism.
Academic Integrity
Normalized value: Students intending to use GenAI should discuss it with the teacher and cite AI tool use.
Original evidence
Evidence 1If you intend to use generative AI in your work, discuss this with your teacher. He or she will need to know which tools you plan to use and for what purpose. Cite the use of AI tools in your work using in-text references and your reference list.
Academic Integrity
Normalized value: GenAI may support learning; students expected to produce original work and check with teacher before use.
Original evidence
Evidence 1Generative AI tools like Chat GPT can be used to enhance learning, but they do not replace independent learning. You are expected to produce original work. ... You should always check with your teacher before using generative AI.
Teaching
Normalized value: Students should critically evaluate AI-generated content before using it.
Original evidence
Evidence 1Generative AI sometimes creates untrue information. If you use generative AI to help you write, you must carefully check all its facts and claims. ... you must read, understand and critically evaluate the AI-generated content before using it for ideas, information, structure or language.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
1 source attribution
elearn.squ.edu.om
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