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A flashcards program ( Anki) Rote learning is a memorization technique based on repetition. The method rests on the premise that the recall of repeated material becomes faster the more one repeats it. Some of the alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning .
What makes just-in-time learning unique is a strategy focused on meeting the learner's need when it arises, rather than pre-scheduled education sessions that occur regardless of the immediacy or scope of need. [2] Therefore, planning for just-in-time learning requires anticipating what is needed by the various learners, when and where they may ...
Latent Learning is a technique used by Gutstein & Stump (2015) to mitigate catastrophic interference by taking advantage of transfer learning. This approach tries to find optimal encodings for any new classes to be learned, so that they are least likely to catastrophically interfere with existing responses.
Fiber-optic communication is a method of transmitting information from one place to another by sending pulses of infrared or visible light through an optical fiber. [1] [2] The light is a form of carrier wave that is modulated to carry information. [3]
Mechanism of one type of carbonyl addition hydrogen auto-transfer reaction involving hydrometalation (step 2). [3] Hydrogen auto-transfer, also known as borrowing hydrogen, is the activation of a chemical reaction by temporary transfer of two hydrogen atoms from the reactant to a catalyst and return of those hydrogen atoms back to a reaction ...
This is a major educational advantage by encouraging 1) an intense interaction that generates real cognitive or socio-cognitive conflicts, providing a solid construction of knowledge; 2) an autonomy in the learning process following a strong metacognitive activity; 3) an eventual transfer of acquired skills.
Linear and nonlinear control theory. The field of control theory can be divided into two branches: Linear control theory – This applies to systems made of devices which obey the superposition principle, which means roughly that the output is proportional to the input. They are governed by linear differential equations.
Inductive bias is anything which makes the algorithm learn one pattern instead of another pattern (e.g. step-functions in decision trees instead of continuous function in a linear regression model ). Learning is the process of apprehending useful knowledge by observing and interacting with the world. [2]
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