Universal Aviation
Aptitude Test
A Human-Behaviour Intelligence Engine for High-Stakes Education Pathways. The Universal Aviation Aptitude Test (UAAT) provides universities with objective, auditable evidence at the point of entry through standardised, aviation-specific aptitude testing.
Aviation Lacks a Unified Standard
Aviation lacks a unified, benchmarkable admissions and aptitude standard that institutions can rely on and defend.
Weak Predictive Power
Grade-heavy admissions weakly predict performance in aviation and safety-critical fields
No Standardisation
No standardised aviation-specific criteria at undergraduate level across institutions
High-Cost Misalignment
Unsuitable intakes increase attrition, training delays, and safety risks
Governance Risk
Rising scrutiny over fairness, transparency, and defensibility of selection decisions
Standardised, Aviation-Specific Framework
A standardised, aviation-specific admissions and aptitude framework that provides universities with objective, auditable evidence at the point of entry.
Measures Reasoning
Evaluates how candidates think and reason, not just what they know
Cross-Institution Benchmarking
Enables cross-cohort and cross-institution performance comparison
Defensible Scores
Produces defensible scores for admissions, streaming, and scholarships
Decision Support
Positioned as decision-support, not an opaque gatekeeper
Built on Science
Psychometric Foundation
Construct mapping and calibrated item banks
IRT scaling for accurate measurement
Reliability and validity evidence
Multi-site outcome-linked validation
Trustworthy AI Governance
Explainable construct-level scoring
Subgroup fairness monitoring
Auditable decision trails
Human-in-the-loop controls
Developed by Experts
UAAT is developed by a distinguished team of researchers and industry experts at Aerotyrnd, the R&D division of Aerosim.
Prof. Dr. Loo Chu Kiong
Founder & Principal Investigator
Senior Professor of AI, University of Malaya. 200+ publications. JSPS Fellow, Germany Humboldt Fellow, Malaysia Research Star Award 2019.
Kodie Tse
Researcher
MBA with 5 years startup experience. Leads AI-integrated simulation solutions development.
Dr. Teoh Yun Xin
Researcher
Lecturer at Sunway University. PhD Biomedical Engineering. Former Senior R&D Associate at Aerosim HK.
Interested in UAAT for Your Institution?
Partner with us to implement standardised aviation aptitude testing at your university or training organisation.