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Deep learning is characterized by the following:
Relevance to the learner
Low Affective Filter (emotional blockage down)
Motivational settings based on short and long term goals
Consistent exposure to related terminology
Analysis of technique and strategy
Making connections to self, and world
Being the center of the teaching
Exploring alternative ways to problem solve the same situation.
Finding patterns and connecting detail
Not surprisingly, deep learning is a kind of learning that allows the learner to really understand things rather than just knowing a definition (that would be "surface learning").
Someone doing deep learning would actively try to understand new material by thinking about it and by trying to connect it to things he or she already knew.
This is in contrast to surface learning. In this kind of learning the person tries to do the minimum possible work. They just try to memorize facts without trying to understand any connections between those facts.
um... it is beyond just knowing, it is understanding and relating to the thing you are learning XP
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