"Education doesn't need to be reformed - it needs to be transformed.
The key to this transformation is... to personalize it."
- The Element, Ken Robinson
Learning is not just about finding good content, but also how that content is traversed. When it comes to utilizing the resources of the World Wide Web, the material available is vast, potentially unreliable, written at different comprehension levels, and often irrelevant to what a student needs to learn. To address these challenges, the Knowillage learning platform is based on three key approaches:
Reinforcement Learning:
Knowillage encourages learners to continuously test their understanding of content through practice questions and quizzes throughout the course, and uses this feedback to adjust its own understanding of how to personalize the content for each learner. Knowillage is unique in its ability to identify and fill in gaps, ensuring better comprehension of material and success on exams.
Learning Analytics:
To put together the most effective learning path for each student, Knowillage tracks what has helped individuals learn best, and factors this in when recommending the best content.
Dynamic Content:
Knowillage has a powerful semantic mapping engine at its heart. As new content is discovered, Knowillage can understand how to use it in various courses immediately and appropriately through semantic analysis of the material.