Biography
Biography: Lin Zhou
Abstract
121 million children are out of school worldwide. 40% college students do not graduate aft er six years. Th e US student debt
has risen to over 1.3 trillion dollars. Access, outcome and cost are the key challenges to the society which have ignited
rapid transformation in the education industry. Th is article reports the latest development in the application of Artifi cial
Intelligence (AI) to education solutions in 3 dimensions: Content enrichment, student insight and personalized learning
delivery. Machining learning is shift ing traditional digitized learning content towards self-descriptive learning packages. Th ey
are learner aware, commerce aware and standard aware. In the student information dimension, AI is enabling educators to
gain greater insight into student learning style, predict performance risk and prescribe personalized remediations. Natural
Language Processing (NLP) analyzes student dialog with intelligent tutoring solutions to assess students’ competency mastery
and matches it with pedagogical models to deliver personalized learning at anytime, anywhere and judgment free. Th e exciting
new learning science development in the application of machining learning to study the brain wave (EEG) in a virtual reality
environment is also discussed