Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Aveiro, Portugal
University of Aveiro
University of Aveiro is listed as QS 2026 rank 419. University of Aveiro has 3 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.
Short answer
v1 public contract
University of Aveiro is listed as QS 2026 rank 419. University of Aveiro has 3 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.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Aveiro as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 3 source-backed claims, including 3 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/university-of-aveiro.json. The entity-level confidence is 92%. 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.
Policy signals in this record
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
Review: Agent reviewed
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.
Policy profile
Deterministic source-backed dimensions derived from this record's public claims.
Review: Machine candidate
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.
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
University of Aveiro has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
University of Aveiro has 3 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
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.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
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.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
University of Aveiro has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
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.
Security and procurement
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.
Evidence-backed claims
3 reviewed evidence-backed public claim
Teaching
The University of Aveiro's AcademIA objectives include promoting UA teachers' capacity for pedagogical and ethical use of artificial-intelligence tools, critical reflection, practice sharing, and AI-based educational transformation projects.
Review: Agent reviewed
Normalized value: academia_objectives_pedagogical_ethical_ai_teacher_capacity_reflection_projects
Original evidence
Evidence 1Promover a capacitacao dos docentes da UA no uso pedagogico e etico de ferramentas de Inteligencia Artificial; Fomentar a experimentacao, a reflexao critica e a partilha de praticas inovadoras; Apoiar a concecao de projetos de transformacao educativa com base em IA;
Localized display only
The objectives include teacher capacity building in pedagogical and ethical AI-tool use, experimentation, critical reflection, practice sharing, and AI-based educational transformation projects.
Teaching
The University of Aveiro's AcademIA page describes a training proposal for UA teachers to understand generative AI's transformative potential and apply it responsibly in real teaching and learning contexts.
Review: Agent reviewed
Normalized value: academia_teacher_training_responsible_ai_teaching_learning
Original evidence
Evidence 1Surge, assim, o AcademIA, uma proposta formativa dirigida a docentes da UA que pretendam compreender o potencial transformador destas tecnologias, aplicando-as de forma responsavel em contextos reais de ensino e aprendizagem.
Localized display only
AcademIA is a training proposal for UA teachers to understand these technologies' transformative potential and apply them responsibly in teaching and learning contexts.
Teaching
The University of Aveiro's AcademIA page says the University promoted pedagogical-training actions on AI and created the 'IA, vamos conversar?' community of practice for teachers interested in reflecting on and sharing experiences about the topic.
Review: Agent reviewed
Normalized value: ua_ai_pedagogical_training_community_of_practice_teachers
Original evidence
Evidence 1No ambito do Programa de Formacao e Atualizacao Pedagogica, tem sido promovidas diversas acoes dedicadas a exploracao pedagogica da IA e foi criada a Comunidade de Pratica "IA, vamos conversar?", que reune docentes interessados em refletir e partilhar experiencias sobre o tema.
Localized display only
The page says pedagogical-training actions dedicated to AI were promoted and a teacher community of practice was created to reflect and share experiences.
Candidate claims
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.
Official sources
1 source attribution
AcademIA - inovacaopedagogica - Universidade de Aveiro
ua.pt
Change log
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
Corrections and missing evidence
Corrections create review tasks and do not directly change this public record.
If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.