Adaptive technologies is a technology that is still four to five years from becoming widespread, but the possibilities of this technology are amazing. I couldn't figure out a better way to say it, so this information is straight from the report.
Adaptive learning technologies refer to software and services that adapt to individual students’ needs as they learn. These tools are now capable of learning the way people learn; enabled by machine learning technologies, they can adapt to an individual student’s progress and adjust content in realtime or provide customized exercises when they need it. Educators in higher education envision these adaptive platforms as new, patient tutors that can provide personalized instruction on a large scale. There are two levels to adaptive learning technologies — the first platform reacts to individual user data, and adapts instructional material accordingly, while the second takes into account aggregated data across a large sample of users for insights into design and adaptation of curricula.
Next week, we will look at some of the challenges to implementing some of the technologies mentioned in the previous weeks. The preview of the report can be found here.
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