CENTURY is an award-winning artificial intelligence teaching and learning platform used by schools, colleges and universities across the world. CENTURY is improving and positively disrupting aspects of the education sector, traditionally untouched by technology, now requiring a re-examination of its foundational principles. By helping to relegate the failed ‘one-size-fits-all’ model of delivery in favour of a personalised ‘one-size-fits-one’, CENTURY is both improving outcomes and challenging the outdated, underperforming models of educational delivery that have let down children for too long. CENTURY recently launched the world’s first system-wide roll-out of AI in schools and is now the world-leading AI platform
Adapting Tomorrow’s Technology Today: Innovation in Medical Education with AI-Based Virtual Patient Learning
AI-Based Virtual Patient provides an enhanced learning experience to students, immersing them in the complexities of the human body, and allowing them to view and analyze medical sciences in new ways. This will help them to understand important concepts better, boosting their interest and curiosity in the field of medicine and health sciences. GMU is adapting tomorrow’s technology today in the hopes of creating medical professionals with futuristic outlook and skills. They are the first University in the Arab region to introduce Virtual Patient Learning (VPL) technology. VPL is a problem-based learning (PBL) application involving critical thinking, clinical reasoning, and communication skills.
Using state of the art machine learning algorithms, DAMVAD Analytics are able to identify 80 percent of the students who actually drop out, more than six months in advance. This allows universities and other higher education institutions to intervene on an individual level to provide personal counseling to the students who need it the most. By aggregating the results, it is also possible to identify problematic courses, faculties or custom cohorts. This provides a cost-effective tool for driving retention both at an individual and institutional level. This is done solely on the institution’s own data on their students.