When many of us took licensing exams, we experienced “adaptive testing” or CAT – computerized adaptive testing. While we answered questions, the algorithms in the test would change the questions based on our responses.
While CAT has been used for well over a decade, the use of adaptive learning (or adaptive teaching) has gained popularity in the last 5-10 years. Similar to testing, the AI/algorithms will adapt to the strengths and weaknesses of the learner, based on mastery and knowledge of the content.
A specific framework used is ALGAE (Adaptive Learning for GAme dEsign). This concept uses a mixture of game design, adaptive learning and instructional/teaching models to enhance learning.
If you’re interested in adaptive learning, here are some additional resources:
- Adaptive Learning (Wikipedia)
- Adaptive Learning article on McGraw Hill
- ALGAE presentation on SlideShare