CUBE

All educational markets (K-12, Higher Ed, Training and Corporate) are potential markets for AI tutoring systems. Currently tutoring systems are custom designed for specific customers to meet highly specific requirements; requiring significant resources to complete. However with the rapid development of machine learning, a more powerful and broad AI tutors are being developed and could break into a wider educational market.

AI tutors focus on two core offerings. The domain model provides the content (curriculum) while the student and tutoring model provides the service (teaching). AI tutors can deliver and teach content to any person wishing to be a student, but can also be a supplementary assistant to a traditional classroom. Depending on the scenario it could provide the service of being the teacher, or the teacher's assistant.

Currently learner buys personally, in particular those students who want to enhance their learning through additional tutoring. These students may be looking for alternatives to traditional tutors, and seeking a more affordable and accessible solution. There is immense potential for AI tutors to be bought centrally or for the learner. In Higher Education, many institutions are or have developed in-house AI tutoring solutions.

AI tutors could expand into all global markets, and into all levels of education. Because AI tutors can be a replacement for teachers, it has the potential to go to any place where there is a classroom. However in order to access the best/powerful AI tutors, the classroom will require good hardware/computers and good quality internet.

Any market that is currently supportive of tutoring should also be fairly supportive of AI tutoring. However AI tutors generally need a strong hardware and internet infrastructure to support. Currently the market is more interested towards indigenous suppliers and home grown solutions. Current AI solutions and tutoring systems require a lot of specialization and design, often focused around a University with built in-house systems and designs.

This learning technology works best within a well-developed learning system to enhance learning. In particular, it helps students with higher needs get better access to higher quality tutoring. This technology should be disruptive to the private tutoring market; however the demand for tutoring is increasing with education becoming more competitive. At the current time, traditional tutoring is still more efficacious, as skilled tutors can respond to student's affects and specialized tutors have the ability to work with those with significant developmental or learning issues.