The core of Adaptive 2.0 Learning Technology is the Learning Cube, which is built around pedagogy, learning models, rich media, real-time feedback, and learner analytics.
Adaptive Learning employs a pedagogical framework, containing multiple learning strategies, pathways, and educational content personalized for the individual.
Individuals not only learn differently from others, but they also learn different kinds of content using different learning strategies. Each individual has a dominant learning strategy based on cognitive development and a unique pace to digest new learning content.
Through continuous monitoring and statistical inference, a preferred learning strategy is determined for each individual by our sophisticated customization models.
What makes IntellADAPT's Adaptive 2.0 platform different from other Adaptive Learning tools?
Adaptive 2.0 is unique in tailoring content to each student's personal learning strategy. The content is also modified if the formative assessments indicate that the student needs more work in mastering the concepts before they continue on to the next course module.
The 5 learning strategies included in Adaptive 2.0 courses are based on brain research and defined as Apprentice, Incidental, Inductive, Deductive and Discovery models. Each of the strategies includes a mix of content, media, cases, projects, exercises, and interaction to differentiate instruction to best meet each student’s learning preference.