Personalized learning has been the clarion call of education reform advocates for many years, but until recently it has been difficult to scale beyond small, well-funded learning organizations. In order to implement personalized learning, assessment must be highly nuanced and detailed learner profiles and individual learning plans must be created for each student. These initiatives, which have in the past demanded often prohibitive amounts of time, are increasingly being performed through the use of personalized learning education technologies driven by data analytics and artificial intelligence.
There is little doubt about the future of personalized learning. It is less a question of if and more a question of when it will roll out on a global scale. At some point in the not so distant future, technology assisted personalized learning will become the reality for the majority of students. Putting a finger on this horizon is, however, a challenging feat. Opportunists will have to temper their optimism with caution as they navigate this promising venture.