Individualized curricula

Different persons learn differently. MU utilizes PKC as a flexible instrument to organize content knowledge in individually-targeted sequences that could best fit one's capability to learn. To ensure maximal flexibility, content knowledge are divided in layered categories, which allows individuals to choose their own learning trajectories by exposing themselves to different areas of an open-ended, yet locally-traceable learning events.

The general categories of curricula can be composed of the following content:

1. Cognitive Foundation
2. Computational Thinking
3. Industrial/Societal Frontiers

Composition of Content Narratives

The above mentioned content will be presented using different Content Narratives.

Learning Assessment

See Learning capacity

MU provides tools and data set to automate or semi-automatically enable the following Learning Assessment Methods.