Adaptive Learning

A New Way to Customize Learing Using Adaptive Algorithms That Leverage Well-Known Scientific Principles of Learning and Memory

Adaptive Learning

A New Way to Customize Learing Using Adaptive Algorithms That Leverage Well-Known Scientific Principles of Learning and Memory

A Unique Approach

While the term adaptive learning is widely used, our patented Adaptive Response-Time Based Sequencing dynamically adjusts content based on student proficiency. By measuring both fluency and retention, we have created a uniquely efficient learning experience.

How It Works

Our algorithm takes into account both the accuracy and speed of the learner on every presentation. Each item is tracked individually to determine the optimal order of learning material. Our automated sequencing procedures guarantee that items will not be repeated too soon or too late—both of which can impede learning. Less well-learned items will return sooner, whereas better-learned items are spaced further apart. These algorithms attempt to space out presentations for as long as possible, fostering long-term retention of the material.

How Adaptive Sequencing Algorithms Work

Research-Proven Algorithms

Adaptive sequencing is powered by algorithms that have been developed through research in cognitive science. Our research has been published in peer-reviewed journals. To mention some key features, Insight’s adaptive algorithms:

  • Stretch out reappearance intervals for items answered correctly and fluently
  • Reintroduce problem types answered incorrectly or slowly more quickly than those answered correctly
  • Avoid item reintroduction while specific answers remain in working memory
  • Use mastery criteria that ensure retention and fluency, retiring items when students respond with several spaced, rapid, accurate answers
  • Present items with rapid cycles of display – answer – feedback, triggering longer explanations only when needed
  • Increase problem difficulty level upon demonstration of skill acquisition

Patented Technology

Systems that use learner speed and accuracy to sequence learning events are covered by US Patent #7052277, assigned to Insight Learning Technology, Inc. For more information, please contact us.

Publications

  • Mettler, E., & Kellman, P. J. (2014). Adaptive response-time-based category sequencing in perceptual learning. Vision Research, 99, 111-123.
  • Kellman, P. J. (2013). Adaptive and perceptual learning technologies in medical education and training. [Supplement issue.] Military Medicine, 178, 98-106.
  • Mettler, E., Massey, C., & Kellman, P. J. (2011) Improving adaptive learning technology through the use of response times. In L. Carlson, C. Holscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2532-2537). Boston, MA: Cognitive Science Society.