Innovation
Invented by Professor Zaid Al-Shammari in 2010.
Analysis Model for Learning Outcomes
AMLO transforms assessment work into evidence, provides administrations with clear visibility, and operates from an evidence-based scientific methodology. AMLO is an integrated digital system for academic evidence. The system links assessment work to approved learning outcomes, measures attainment, analyzes evidence, and converts this interpretation into feedback that supports decision-making for sustaining continuous improvement in education quality.
AMLO transforms assessment work into evidence, provides administrations with clear visibility, and operates from an evidence-based scientific methodology. AMLO is an integrated digital system for academic evidence. The system links assessment work to approved learning outcomes, measures attainment, analyzes evidence, and converts this interpretation into feedback that supports decision-making for sustaining continuous improvement in education quality.
AMLO carries rigorous academic and research credibility as an evidence-based scientific methodology, and enjoys high institutional and professional trust that reinforces its standing as a secure strategic investment.
Invented by Professor Zaid Al-Shammari in 2010.
AMLO received the Silver Medal for Innovation in 2011.
The system is grounded in 22 peer-reviewed academic studies published across journals, conferences, and books.
The system received financial support from the Kuwait Foundation for the Advancement of Sciences (KFAS) for practical implementation in both the State of Kuwait and London, United Kingdom.
The system was evaluated and endorsed by Talal Abu-Ghazaleh Global, confirming its technical robustness and commercial value.
In AMLO, evidence remains visible and clear from the first assessment level through to the institution as a whole, retaining its academic meaning.
Student learning work, questions, rubrics, and exams are treated as evidence inputs, not detached numbers.
Assessment elements link to approved learning outcomes from the course level to academic programs and institutional strategic objectives.
AMLO measures, analyzes, and interprets attainment evidence while keeping it tied to its academic meaning.
Detailed reports and AI-assisted feedback support decisions that sustain continuous improvement.
A copyrighted methodology representing a paradigm shift in self-assessment of learning outcomes.
Precise tracking of the alignment between each assessment element and the targeted outcomes.
Assessment records and grade entry feed the same academic evidence pathway.
Evidence reports preserve academic meaning from the course level to institutional improvement planning.
Institutions govern learning outcomes, users, evidence reports, and oversight relationships.
Authorized administrations and reviewers access governed evidence reports within their designated permission scope.
AMLO integrates CLARA, the intelligent assistant powered by the OLMA engine, to accelerate scientific content development, assessment construction, and outcome alignment tracking.
CLARA analyzes complex academic data to deliver tangible results through precise detailed reports.
CLARA interprets evidence to identify strengths and weaknesses in teaching, learning, and curriculum.
CLARA provides assistive feedback to support decision-making.
AMLO ensures that each role sees evidence only within its designated permission scope, and provides dedicated workspaces tailored to all needs.
Manage assessment structure, link elements, record grades, and review evidence.
Support faculty members in academic workflows within defined permissions.
Review attainment in courses and monitor academic progress.
Use defined permissions for academic monitoring within their departments.
Manage hierarchical oversight relationships, and govern reports and users.
Review approved evidence reports through governed institutional or national relationships.
Dedicated cloud workspaces for public-sector academic and educational institutions, regulatory bodies, and national accreditation authorities.
For private schools, institutes, colleges, and universities, via AMLO Cloud or dedicated private cloud workspaces.
Via AMLO Cloud dedicated to personal accounts for individuals.
AMLO Company is led by distinguished academic and executive leadership that ensures the realization of its strategic vision.
Chaired by Professor Habib Abul (Kuwaiti), with the owners as members.
The company is executively managed by Professor Ali Al-Ansari (Irish).
Includes the main innovator and founder of the system, Professor Zaid Al-Shammari, and the co-founder programmer, Engineer Saud Al-Mutairi.
AMLO Company aspires to expand the application of its evidence-based methodology to new sectors beyond education, through the development of specialized models tailored to the needs of each sector.
AMLO model for banks to measure and analyze evidence of institutional performance and regulatory compliance.
AMLO model for factories to track quality evidence and continuous improvement across production lines.
AMLO model for ministries and government authorities to measure evidence of strategic objective achievement and performance indicators.
AMLO model for private companies to govern evidence of competencies and continuous professional development.