Research and development into the modern day intelligent tutoring systems (ITS) has been around since the 80s. One of the first papers on the subject was published by Anderson et. al in 1985 after an ITS was implemented at Carnegie Mellon University. The development of this field has accelerated with the advancements in computing power and is now a thriving sub-field of Artificial Intelligence.

Look below to access our collection of academic resources.

The following four components are central to all AI tutoring designs.

Domain Model - the concepts, rules and problem-solving strategies of the domain to be learned. Source of expert knowledge, standard for evaluating student performance. In short, the curriculum.

Student Model - a dynamic model of the learner, a representation of the student's current knowledge and learning including their cognitive and affective states, made up of both explicit and implicit data on the student. Used to diagnose student progress. In short, the student.

Tutoring Model - receives input from domain and student. Makes decisions on when and how to intervene, and focuses on appropriate content delivery. In short, the teacher.

Interface Component - the learning environment and interactive component that gives the user access to the domain. In short, the classroom.