Adaptive Learning Platform™
Power your content with the Knewton Adaptive Learning Platform™
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Publishers
Refresh your entire catalog by transforming all text and multimedia materials into adaptive learning experiences.
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Game & App Developers
Provide users with unique pathways through your app driven by their strengths and weaknesses in their real-time learning profile.
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Corporate Training
Prepare employees quickly and cost-effectively with personalized adaptive learning training experiences.
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Media Companies
Install an intelligent infrastructure to power your library and establish a competitive edge for future products and applications.
Transform your content into a personalized experience for each learner.
We are currently working with partners in private beta.
Sign up to request info.
From the Blog
» Adaptive Learning
How Adaptive Learning Can Help Students Think About Meaning
The following experience is common to most teachers: a meticulously planned class activity succeeds in capturing student interest for a few minutes, but atte...
5 Myths about Mastery-Based Learning
Whether or not you’ve heard the term “mastery-based learning,” you’ve probably encountered it in practice, in school or on the job. In any situation where yo...
5 Ways to Make Students Smarter
A version of this article originally appeared on Getting Smart (http://www.gettingsmart.com). Self-perception, social expectations, and previous experiences ...
- What is adaptive learning?
- Adaptive learning is an educational method which uses computers to deliver material in a way that responds to each individual’s performance and/or activity on the system. The aim of adaptive learning is to deliver personalized learning and instruction on a large scale. The technology incorporates research from fields as diverse as computer science, education, data science, and psychology.
- What is the difference between single-point and continuous adaptivity?
- An adaptive system responds to the performance or activity of a user. A single-point adaptive learning system evaluates a student’s performance at one point in time in order to determine the level of instruction or material he receives from that point on. These recommendations do not adapt to user activity and performance as the student moves through the course materials. On the other hand, a computerized learning system that is continuously adaptive responds instantaneously (or near-instantaneously) in real-time to each individual’s performance and activity on the system.Single-point adaptivity is generally used to evaluate proficiency in certain areas or sort students into appropriate levels, whereas continuous adaptivity is used to teach students and enable them to master various concepts and skills. For example, imagine a course that provides a diagnostic exam, the results of which determine the rest of the course. Such an experience would be an example of single point adaptivity. If, however, multiple diagnostics are employed in a course and recommendations are constantly updated based on other user data, the experience would be an example of continuous adaptivity.
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