21st Century Learning and Teaching

As the future becomes increasingly unknowable, we must abandon a rigid hierarchy of subjects for a flexible yet ambitious approach.

Learn more:

- https://gustmees.wordpress.com/2015/05/26/what-are-the-skills-needed-from-students-in-the-future/

- https://gustmees.wordpress.com/2014/10/03/design-the-learning-of-your-learners-students-ideas/

- https://gustmees.wordpress.com/2015/05/13/andragogy-adult-teaching-how-to-teach-ict/

- https://gustmees.wordpress.com/2015/03/28/learning-to-learn-for-my-professional-development-i-did-it-my-way/

Wikipedia:

Fuzzy logic is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.

The term "fuzzy logic" was introduced with the 1965 proposal of fuzzy set theory by Lotfi A. Zadeh.[2][3] Fuzzy logic has been applied to many fields, from control theory to artificial intelligence. Fuzzy logics however had been studied since the 1920s as infinite-valued logics notably by Łukasiewicz and Tarski; it is a popular misconception that they were invented by Zadeh.[4]:343