Our basic package for those who want to start out simple. This package covers the basic needs for creating adaptive eLearning.
Our business package includes everything you need to successfully create and use eLearning within your business. This package includes our full feature set.
Our enterprise package is for those who want to use eLearning within more companies. The solution allows you to create as many white-labels as you want, using it both internally and externally.
Adaptive learning as a field draws from various disciplines, including AI, machine learning, cognitive sciences, predictive analytics, and education theories. The end goal is to enable each and every individual to learn what they need in the way that is most effective for them.
Currently, most eLearning providers that work with adaptive learning focus on customising the presentation of knowledge to each learner based on adaptive testing results. What this means is that learners on these sites take tests frequently. The test results purportedly highlight what the learner has not mastered, and hence the learner is presented with only the lesson units corresponding to the questions they answer incorrectly.
At CanopyLAB, we see this as a limited take on adaptive learning. Adaptive testing is suitable for attaining knowledge, but not so much for competences. The reason is because competences requires practice and demonstration, which can hardly be done by answering test questions. Furthermore, the current eLearning market essentially still offers learners an experience that mirrors offline classrooms: learners do readings, watch lectures, and take tests.
But we all learn in many different ways. Sometimes, we learn independently. Sometimes, we learn by discussing and collaborating with other people. And sometimes, we learn by taking an action to change our behaviour or engage our local community.
We believe it is important to enable learners to chose between a broader category of learning activities, and empower learners to choose the best combination. This has led us to design our software so that it recognises at least 40 different learning activities as acceptable exercise tags that learners can take in order to pass a course. We are constantly looking to improve the list, and apply AI and gamification elements to optimize the use of exercise tags to empower each individual to learn in the most effective and enjoyable way.