Harness the Power of Your Learning Data and Optimize Performance with Zoomi
In January 2015, two Princeton University researchers teamed up with a seasoned technology entrepreneur to launch Zoomi.
Zoomi, the first and only automated adaptive technology, provides actionable eLearning data to companies with its more than 200 proprietary algorithms.
Dr. Mung Chiang, an electrical engineering professor at Princeton University, saw only a 3% completion rate in his 200,000-person electrical engineering Massive Open Online Course (MOOC) back in 2012. Frustrated by the low completion rate, Dr. Chiang along with his doctoral student, Dr. Christopher Brinton, decided to find a way to increase course completion and better engage his students online.
In January 2015, after Dr. Chiang teamed up with Dr. James Walker, a seasoned entrepreneur with experience in pharmaceutical technology, Zoomi was born.
Zoomi is the first and only automated adaptive technology that uses machine learning to rapidly individualize training pathways in real-time. Its artificial intelligence studies learner behaviors and patterns to understand what each employee knows, what still needs to be taught and how to best deliver that information automatically – so you don’t have to. With more than 200 proprietary algorithms, Zoomi accelerates onboarding and maximizes productivity through automatic personalized, adaptive training. Zoomi can predict – with 85% accuracy – whether or not a learner will successfully complete a course.
We are all lifelong learners.
In higher education, Zoomi gives colleges and universities the tools to promote performance-driven results that meet or exceed student and instructor expectations, improve overall performance, and predict classroom results.
In the corporate world, Zoomi can improve employee productivity and satisfaction, increase comprehension and course completion, and provide actionable data for better business results.
Zoomi is the eLearning industry’s only suite of SaaS that gives organizations the power of artificial intelligence and predictive and prescriptive analytics.