Difference between revisions of "Individualized curricula"
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# [[Computational Thinking]] | # [[Computational Thinking]] | ||
# [[Industrial/Societal Frontiers]] | # [[Industrial/Societal Frontiers]] | ||
=Composition of Content Narratives= | |||
The above mentioned content will be presented using different [[Content Narrative]]s. | |||
=Learning Assessment= | =Learning Assessment= | ||
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MU provides tools and data set to automate or semi-automatically enable the following [[Learning Assessment Methods]]. | MU provides tools and data set to automate or semi-automatically enable the following [[Learning Assessment Methods]]. | ||
[[Category:Pedagogy]] | |||
Latest revision as of 01:33, 22 February 2022
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:
Composition of Content Narratives
The above mentioned content will be presented using different Content Narratives.
Learning Assessment
MU provides tools and data set to automate or semi-automatically enable the following Learning Assessment Methods.