Abstract: A system dynamically providing personalized learning experiences to students via a digital learning platform. During a learning session, in which a teaching entity teaches a lesson having one or more learning objectives, a set of visual and acoustic observations of a student and a set of visual and acoustic observations of the teaching entity are gathered. Based on the gathered observations, a set of student facts and a set of teaching facts are classified. The system then automatically maps at least one student fact(s) to at least one teaching fact(s) and instantiates a student profile to store the mapped student fact(s) and teaching fact(s). Based on the student profile, the system then determines a learning result for each of the one or more learning objectives. The system then automatically generates a template for a next learning session based on the student profile and the learning result.