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{{Machine learning bar}} ...ised learning|supervised]] and [[reinforcement learning]]. Semi-supervised learning has also been described, and is a hybridization of supervised and unsupervi

...ciences]] and [[anthropology]], [[regulation]], [[cybernetics]], [[machine learning]], [[social systems]], [[computational economics]] and [[computational soci ..., [[economics]], [[psychology]] and [[sociology]]), and STEM education and learning research.<ref name="fas.org"/><ref name="nsf.gov">{{cite web|url=https://ww

...ess the [[cognition|cognitive]] abilities to [[learning|learn]], [[Concept learning|form concepts]], [[understanding|understand]], apply [[logic]], and [[reaso ...could be seen as a semblance of [[fluid intelligence]] and Intelligence B (experiential), similar to [[crystallized intelligence]].<ref>Hebb. D.O. (1939). Intellig

...which reduce the system's overall cognitive load and greatly improves the learning curve of the application.<ref>{{Cite web|url=https://www.thinkwithgoogle.co .../augmented-reality-in-education/ Augmented reality in education] ''smarter learning''.</ref> 2015's ''Virtual, Augmented and Mixed Reality: 7th International C