Accreditation by AAC
Standards-Driven. Evidence-Based. Peer-Reviewed.
External quality assurance for institutions, academic programs, and AI-native university development.
AAC accreditation is based on standards, evidence, peer review, and independent decision-making. The process is designed to help institutions demonstrate quality, strengthen internal systems, and support continuous improvement.
All AAC accreditation reviews are conducted through a peer-review approach. Qualified experts review institutional evidence, engage with institutional representatives, and prepare findings for consideration by the relevant AAC Accreditation Commission.
Explore Accreditation Pathways View Process and Requirements（https://www.aac.cw/accreditation-process） Submit Accreditation Inquiry（https://www.aac.cw/contactus）
AAC accreditation approach
Four Principles of AAC Accreditation
AAC accreditation combines defined standards, institutional evidence, peer review, and formal decision-making. The process examines how quality is documented, implemented, monitored, and improved.
01
Standards-Driven
AAC reviews institutions and programs against defined standards and pathway-specific requirements.
02
Evidence-Based
Institutions are expected to demonstrate quality through documents, records, implementation evidence, and quality assurance practices.
03
Peer-Reviewed
Qualified experts review evidence, engage with the institution, and prepare findings through a peer-review process.
04
Commission-Decided
Accreditation decisions are made by the relevant AAC Accreditation Commission in accordance with AAC procedures.
Scope of AAC accreditation
Accreditation Pathways
AAC offers accreditation pathways for different institutional needs and quality assurance purposes. Each pathway has its own scope, standards, and review focus.
Programmatic Review
Programmatic Accreditation
Programmatic Accreditation is designed for institutions seeking external review of a specific academic program.
AAC reviews whether the program has clear aims, appropriate learning outcomes, coherent curriculum design, qualified staff, effective teaching and assessment, student support, stakeholder engagement, and a quality management system.
Program Accreditation may be relevant for institutions seeking to demonstrate the quality of a degree program, professional program, online program, or other academic offering.
Key focus
Program design and learning outcomes
Teaching, learning, and assessment
Academic staff and learning resources
Student and stakeholder engagement
Program-level quality assurance
Explore Programmatic Accreditation（https://www.aac.cw/program-accreditation-1）
Institution Review
Institutional Accreditation
Institutional Accreditation is designed for institutions seeking external review of institutional quality, governance, academic capacity, and operational sustainability.
AAC reviews whether the institution has a clear mission, appropriate governance, effective internal quality assurance, adequate academic and administrative resources, student support mechanisms, financial and organizational capacity, and the ability to sustain quality across its programs and operations.
Institutional Accreditation may be relevant for universities, colleges, online institutions, and comparable higher education providers seeking a broader external quality assurance review.
Key focus
Mission, strategy, and governance
Internal quality assurance
Teaching and learning environment
Student support and institutional resources
Organizational and financial sustainability
Explore Institutional Accreditation（https://www.aac.cw/institutional-accreditation）
AINU Review
AI-Native University Accreditation
AI-Native University Accreditation is designed for universities seeking external review of responsible AI use, AI-enabled governance, institutional processes, and quality assurance in the AI era.
AAC reviews whether AI-related development is connected to institutional mission, governance, academic processes, human oversight, evidence, and continuous improvement.
AI-Native University Accreditation may be relevant for universities developing AI-enabled models of teaching, learning, assessment, research, student support, administration, and institutional decision-making.
Key focus
AI strategy and institutional purpose
Responsible AI governance
Process mapping and institutional intelligence
Human oversight and decision quality
Quality assurance and continuous improvement
AI-enabled teaching, learning, assessment, research, and administration
Explore AINU Accreditation（https://www.aac.cw/ai-native-university-accreditation）